{ "cells": [ { "cell_type": "markdown", "id": "associate-blanket", "metadata": {}, "source": [ "# Particle filtering\n", "\n", "In this tutorial we explain how to use `ProbNum` for particle filtering.\n", "We assume that you have read the tutorial on non-linear filtering." ] }, { "cell_type": "code", "execution_count": 1, "id": "dietary-figure", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from probnum import filtsmooth, randvars, statespace, diffeq, randprocs\n", "from probnum.problems import TimeSeriesRegressionProblem\n", "from scipy import stats" ] }, { "cell_type": "code", "execution_count": 2, "id": "running-punch", "metadata": {}, "outputs": [], "source": [ "np.random.seed(12345)" ] }, { "cell_type": "code", "execution_count": 3, "id": "minimal-ocean", "metadata": {}, "outputs": [], "source": [ "# Make inline plots vector graphics instead of raster graphics\n", "%matplotlib inline\n", "from IPython.display import set_matplotlib_formats\n", "\n", "set_matplotlib_formats(\"pdf\", \"svg\")\n", "\n", "# Plotting\n", "import matplotlib.pyplot as plt\n", "\n", "plt.style.use(\"../../probnum.mplstyle\")\n", "\n", "# Consistent plotting styles for particles and for \"true\" latent states\n", "particle_style = {\n", " \"color\": \"C1\",\n", " \"marker\": \"o\",\n", " \"markersize\": 5,\n", " \"linestyle\": \"None\",\n", " \"alpha\": 0.5,\n", "}\n", "latent_state_style = {\"color\": \"C0\", \"linewidth\": 5, \"linestyle\": \"-\", \"alpha\": 0.5}" ] }, { "cell_type": "markdown", "id": "forbidden-profile", "metadata": {}, "source": [ "## Pendulum\n", "\n", "We begin with setting up the pendulum problem, which is a standard non-linear test problem. The code below is taken from the non-linear filtering notebook.\n", "\n", "We begin by assembling a `DiscreteGaussian` as a model of the prior dynamics." ] }, { "cell_type": "code", "execution_count": 4, "id": "loved-irish", "metadata": {}, "outputs": [], "source": [ "state_dim = 2\n", "observation_dim = 1\n", "\n", "# approx. gravitational constant\n", "g = 9.81\n", "delta_t = 0.05\n", "\n", "\n", "def pendulum_rhs(state):\n", " \"\"\"Right-hand side of an ODE that defines pendulum dynamics\"\"\"\n", " x1, x2 = state\n", " y1 = x1 + x2 * delta_t\n", " y2 = x2 - g * np.sin(x1) * delta_t\n", " return np.array([y1, y2])\n", "\n", "\n", "def pendulum_jacobian(state):\n", " \"\"\"Jacobian of the pendulum ODE\"\"\"\n", " x1, x2 = state\n", " dy1_dx = [1.0, delta_t]\n", " dy2_dx = [-g * np.cos(x1) * delta_t, 1.0]\n", " return np.array([dy1_dx, dy2_dx])\n", "\n", "\n", "dynamics_transition_function = lambda t, state: pendulum_rhs(state)\n", "dynamics_transition_jacobian_function = lambda t, state: pendulum_jacobian(state)\n", "\n", "dynamics_diffusion_matrix = 1.0 * (\n", " np.diag(np.array([delta_t ** 3 / 3, delta_t]))\n", " + np.diag(np.array([delta_t ** 2 / 2]), 1)\n", " + np.diag(np.array([delta_t ** 2 / 2]), -1)\n", ")\n", "\n", "# Create discrete, non-linear Gaussian dynamics model\n", "dynamics_model = statespace.DiscreteGaussian(\n", " input_dim=state_dim,\n", " output_dim=state_dim,\n", " state_trans_fun=dynamics_transition_function,\n", " proc_noise_cov_mat_fun=lambda t: dynamics_diffusion_matrix,\n", " jacob_state_trans_fun=dynamics_transition_jacobian_function,\n", ")" ] }, { "cell_type": "markdown", "id": "experimental-treasure", "metadata": {}, "source": [ "Next, we set up the measurement model as another discrete, non-linear Gaussian transformation." ] }, { "cell_type": "code", "execution_count": 5, "id": "beginning-presence", "metadata": {}, "outputs": [], "source": [ "def pendulum_measurement(state):\n", " x1, x2 = state\n", " return np.array([np.sin(x1)])\n", "\n", "\n", "def pendulum_measurement_jacobian(state):\n", " x1, x2 = state\n", " return np.array([[np.cos(x1), 0.0]])\n", "\n", "\n", "measurement_function = lambda t, state: pendulum_measurement(state)\n", "measurement_jacobian_function = lambda t, state: pendulum_measurement_jacobian(state)\n", "\n", "measurement_variance = 0.12 ** 2\n", "measurement_covariance = measurement_variance * np.eye(observation_dim)\n", "\n", "# Create discrete, non-linear Gaussian measurement model\n", "measurement_model = statespace.DiscreteGaussian(\n", " input_dim=state_dim,\n", " output_dim=observation_dim,\n", " state_trans_fun=measurement_function,\n", " proc_noise_cov_mat_fun=lambda t: measurement_covariance,\n", " jacob_state_trans_fun=measurement_jacobian_function,\n", ")" ] }, { "cell_type": "markdown", "id": "french-production", "metadata": {}, "source": [ "Finally, we define the initial distribution: a Gaussian random variable. We also generate some artificial observations." ] }, { "cell_type": "code", "execution_count": 6, "id": "stone-correction", "metadata": {}, "outputs": [], "source": [ "mu_0 = np.ones(state_dim)\n", "sigma_0 = measurement_variance * np.eye(state_dim)\n", "initial_state_rv = randvars.Normal(mean=mu_0, cov=sigma_0)" ] }, { "cell_type": "code", "execution_count": 7, "id": "massive-probe", "metadata": {}, "outputs": [], "source": [ "time_grid = np.arange(0.0, 3.5, step=delta_t)\n", "latent_states, observations = statespace.generate_samples(\n", " dynmod=dynamics_model,\n", " measmod=measurement_model,\n", " initrv=initial_state_rv,\n", " times=time_grid,\n", ")" ] }, { "cell_type": "code", "execution_count": 8, "id": "collaborative-flexibility", "metadata": {}, "outputs": [], "source": [ "regression_problem = TimeSeriesRegressionProblem(\n", " observations=observations,\n", " locations=time_grid,\n", " measurement_models=[measurement_model] * len(time_grid),\n", ")" ] }, { "cell_type": "markdown", "id": "protected-diamond", "metadata": {}, "source": [ "Now we're essentially good to go. With this setup we could do non-linear Gaussian filtering (extended Kalman filtering, unscented Kalman filtering), but here, we avoid the Gaussian approximations and do particle filtering.\n", "\n", "To construct a particle filter, we provide prior, measurement model, and initial RV as well as\n", "\n", "* The number of particles: `num_particles`. The larger the better, but also the larger the slower (it is Monte Carlo approximation, after all).\n", "* A linearized measurement model that is used as an importance density: `linearized_measurement_model`. In ProbNum we implement two types of particle filters: a bootstrap particle filter, that uses the prior as an importance distribution (which always works, but also requires a lot of particles -- this is what is used in `linearized_measurement_model` is left empty), and a particle filter that uses an approximate Gaussian filter as an importance density. In the pendulum example, we do the latter, because the extended Kalman filter has already been proven to be successful." ] }, { "cell_type": "code", "execution_count": 9, "id": "novel-guide", "metadata": {}, "outputs": [], "source": [ "num_particles = 20\n", "prior_process = randprocs.MarkovProcess(\n", " transition=dynamics_model, initrv=initial_state_rv, initarg=0.0\n", ")\n", "importance_distribution = filtsmooth.LinearizationImportanceDistribution.from_ekf(\n", " dynamics_model\n", ")\n", "\n", "# Construct the PF\n", "pf = filtsmooth.ParticleFilter(\n", " prior_process,\n", " importance_distribution=importance_distribution,\n", " num_particles=num_particles,\n", ")" ] }, { "cell_type": "markdown", "id": "behind-setting", "metadata": {}, "source": [ "The remainder is the same `.filter()` interface that we know from Gaussian filtering.\n", "After applying this method, we plot the mode of the posterior distribution." ] }, { "cell_type": "code", "execution_count": 10, "id": "prostate-amateur", "metadata": {}, "outputs": [], "source": [ "posterior, _ = pf.filter(regression_problem)" ] }, { "cell_type": "code", "execution_count": 11, "id": "formed-detail", "metadata": {}, "outputs": [ { "data": { "application/pdf": "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\n", "image/svg+xml": [ "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2021-06-18T10:44:39.104882\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.3.3, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(\n", " time_grid, np.sin(latent_states[:, 0]), **latent_state_style, label=\"Latent state\"\n", ")\n", "plt.plot(\n", " time_grid,\n", " np.sin(posterior.states.mode[:, 0]),\n", " **particle_style,\n", " label=\"Mode of posterior\"\n", ")\n", "plt.xlabel(\"t\")\n", "plt.ylabel(r\"$x$\")\n", "plt.legend()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "brief-summit", "metadata": {}, "source": [ "It seems that the true latent state is recovered fairly well.\n", "The RMSE of the mode is also much smaller than the RMSE of the data:" ] }, { "cell_type": "code", "execution_count": 12, "id": "northern-begin", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mode of PF: \t2.3003226612258647\n", "Observations: \t72.96427549651985\n" ] } ], "source": [ "rmse_mode = np.linalg.norm(\n", " np.sin(posterior.states.mode[:, 0]) - np.sin(latent_states[:, 0])\n", ")\n", "rmse_data = np.linalg.norm(observations - np.sin(latent_states[:, 0]))\n", "print(f\"Mode of PF: \\t{rmse_mode}\\nObservations: \\t{rmse_data}\")" ] }, { "cell_type": "markdown", "id": "enhanced-kidney", "metadata": {}, "source": [ "The strength of a particle filter is not the point estimate, but the posterior distribution. \n", "Let us look at a few more particles. Since we want to exclude the unlikely states from the visualization, we resample the posterior before plotting.\n", "This way, only those states that have sufficient probability to be resampled are shown." ] }, { "cell_type": "code", "execution_count": 13, "id": "external-philip", "metadata": {}, "outputs": [ { "data": { "application/pdf": "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\n", "image/svg+xml": [ "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2021-06-18T10:44:40.629938\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.3.3, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Remove the unlikely particles by resampling the posterior\n", "resampled_states = posterior.states.resample()\n", "\n", "plt.plot(\n", " time_grid, np.sin(latent_states[:, 0]), **latent_state_style, label=\"Latent state\"\n", ")\n", "plt.plot(\n", " time_grid,\n", " np.sin(resampled_states.support[:, :, 0]),\n", " **particle_style,\n", " label=\"Particles\"\n", ")\n", "plt.xlabel(\"t\")\n", "plt.ylabel(r\"$x$\")\n", "\n", "# Remove duplicate legend entries before showing the legend\n", "handles, labels = plt.gca().get_legend_handles_labels()\n", "by_label = dict(zip(labels, handles))\n", "plt.legend(by_label.values(), by_label.keys())\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "residential-diabetes", "metadata": {}, "source": [ "It seems that the distribution nicely concentrates around the true state." ] }, { "cell_type": "markdown", "id": "proprietary-cleveland", "metadata": {}, "source": [ "## ODEs\n", "\n", "Particle filters can also be used to solve ODEs (in a very basic way -- if you need a reliant method, use the ODE solvers in `diffeq` instead).\n", "\n", "Let us consider a Bernoulli equation,\n", "$$\n", "\\dot y(t) = 1.5 (y - y^3), \\quad y(0) \\approx 0,\n", "$$\n", "\n", "which has two stable equilibria: one at $\\pm 1$ each, which are reached depending on the sign of the initial value. There is also an unstable equilibrium at $0.$.\n", "\n", "We begin by setting up this ODE in the language of `probnum.diffeq`." ] }, { "cell_type": "code", "execution_count": 14, "id": "satisfied-cinema", "metadata": {}, "outputs": [], "source": [ "def bern_rhs(t, x):\n", " return 1.5 * (x - x ** 3)\n", "\n", "\n", "def bern_jac(t, x):\n", " return np.array([1.5 * (1 - 3 * x ** 2)])\n", "\n", "\n", "t0, tmax = 0.0, 6.0\n", "initrv = randvars.Constant(np.array([0.0]))\n", "bernoulli = diffeq.IVP([t0, tmax], initrv, rhs=bern_rhs, jac=bern_jac)" ] }, { "cell_type": "markdown", "id": "least-vampire", "metadata": {}, "source": [ "We will not go into detail about how to turn an ODE into a filtering problem, but in a nutshell: you need a `statespace.Integrator` prior, and a measurement model that \"punishes\" the discrepancy of the ODE $\\dot y - f(y)$. We construct both. As an initial random variable we choose a Gaussian random variable (whose dimension must match the dimension of the prior, not of the ODE!). We add a bit of \"evaluation variance\" (`evlvar`), because the particle filter struggles with noise-free observations." ] }, { "cell_type": "code", "execution_count": 15, "id": "structural-collins", "metadata": {}, "outputs": [], "source": [ "dynamod = statespace.IBM(ordint=2, spatialdim=1, forward_implementation=\"sqrt\")\n", "measmod = statespace.DiscreteGaussian.from_ode(bernoulli, dynamod, evlvar=0.00001)\n", "\n", "initmean = np.array([0.0, 0, 0.0])\n", "initcov = 0.0125 * np.diag([1, 1.0, 1.0])\n", "initrv = randvars.Normal(initmean, initcov, cov_cholesky=np.sqrt(initcov))" ] }, { "cell_type": "markdown", "id": "compound-adapter", "metadata": {}, "source": [ "As in the pendulum example, we use an extended Kalman filter importance distribution." ] }, { "cell_type": "code", "execution_count": 16, "id": "careful-footage", "metadata": {}, "outputs": [], "source": [ "num_particles = 50\n", "ode_prior = randprocs.MarkovProcess(transition=dynamod, initrv=initrv, initarg=0.0)\n", "importance = filtsmooth.LinearizationImportanceDistribution.from_ekf(\n", " dynamod, backward_implementation=\"sqrt\", forward_implementation=\"sqrt\"\n", ")\n", "\n", "ode_pf = filtsmooth.ParticleFilter(\n", " ode_prior,\n", " importance_distribution=importance,\n", " num_particles=num_particles,\n", ")" ] }, { "cell_type": "markdown", "id": "crazy-singer", "metadata": {}, "source": [ "The ODE filtering problem consists of evenly spaced points and data that is equal to zero. The rest is `ParticleFilter.filter()`." ] }, { "cell_type": "code", "execution_count": 17, "id": "piano-recommendation", "metadata": {}, "outputs": [], "source": [ "num_locs = 50\n", "data = np.zeros((num_locs, 1))\n", "locs = np.linspace(0.0, tmax, num_locs)\n", "\n", "regression_problem = TimeSeriesRegressionProblem(\n", " observations=data, locations=locs, measurement_models=[measmod] * len(data)\n", ")\n", "\n", "ode_posterior, _ = ode_pf.filter(regression_problem)" ] }, { "cell_type": "markdown", "id": "primary-interest", "metadata": {}, "source": [ "We plot the entire set of particles. Again, we resample in order to exclude the unlikely particles from the visualization." ] }, { "cell_type": "code", "execution_count": 18, "id": "heated-separation", "metadata": { "tags": [ "nbsphinx-thumbnail" ] }, "outputs": [ { "data": { "application/pdf": "JVBERi0xLjQKJazcIKu6CjEgMCBvYmoKPDwgL1BhZ2VzIDIgMCBSIC9UeXBlIC9DYXRhbG9nID4+CmVuZG9iago4IDAgb2JqCjw8IC9FeHRHU3RhdGUgNCAwIFIgL0ZvbnQgMyAwIFIgL1BhdHRlcm4gNSAwIFIKL1Byb2NTZXQgWyAvUERGIC9UZXh0IC9JbWFnZUIgL0ltYWdlQyAvSW1hZ2VJIF0gL1NoYWRpbmcgNiAwIFIKL1hPYmplY3QgNyAwIFIgPj4KZW5kb2JqCjEwIDAgb2JqCjw8IC9Bbm5vdHMgWyBdIC9Db250ZW50cyA5IDAgUgovR3JvdXAgPDwgL0NTIC9EZXZpY2VSR0IgL1MgL1RyYW5zcGFyZW5jeSAvVHlwZSAvR3JvdXAgPj4KL01lZGlhQm94IFsgMCAwIDUxOC41MzkwNDEzMzkxIDI5OS4wODY5NjkzMjQgXSAvUGFyZW50IDIgMCBSCi9SZXNvdXJjZXMgOCAwIFIgL1R5cGUgL1BhZ2UgPj4KZW5kb2JqCjkgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMSAwIFIgPj4Kc3RyZWFtCniczX1Nj3a5cV3W/St6KS2aw++PpQTbAgwEiOUJspC9sEdjWYLkwJZsI/8+57Dfh7cf3ttVdeUAnQSSp1s17LrFYvGwWDwVXn/38t3Pwutv/vjqX3+H//zna3j9xet3f/Hjf/z2hx9/+Yufv/7wxxeP3//hpYTuSho+B/z4+48/xjGc73XUgd/75x//+eXlX14wPv6dX2Do37y81OzG+7+Xm4t1ynH04NL+699//HUcwfXHsMcgT7/GX/snfE98/57f4A/+7jW4WPBZ/Pv41UsvLkLD8vTXj1+G42+//ByK/+fLz79/+e6vwmtIbuSG/ykkyH3/Ty8dfzeU5msItb3Gjm8OfsTecn79/tcvP/E/ff3+dy9/+f3LuwIvoUTXa00hP/3pj7+2//GQh8sl+jpaSeHir4ftr8foXfGxtv701z/+2v7XY2j4ez2nlPrIF3897n+9dxfOk/7x1zf+es+uxdxG87H0i7+etr+eSnGtleyfJ/3jr+1/PWG+Eufc1xrjxV/P21/PMbkcAsZ4+usff23/6zkMNzDnMcfRy8VfL/tfx/LwuYcUn//6h1/f+Ou9uYo5722kPC7+en389TlCfA0FI/gYcyjwkzl3xaXo+a/H0F+Dd1h2+BvRt/cR/rTpfyz00l3OpWGtIVr082+ftU8XftNcOJQpyVUfOxTqvs4//d/mn75ebt713GMqAcEIYWSuMLev8EPXwBEGTPWk6/Hbm7rCxi4U/OkYYgt/jrJY5Z8rW4cruXIlP2l7/FpfFM0NxIMy4sDXBYzdPP6nUluq3/7+58aKsTg/Gmbx6e9/+PXNv8+gFksuYeCfgvr9sXtXc/cxPP/949d3/34rrvvie2y11t1ZPlsaHrvVG/fWwMkuofYQRoVccQjPqeOLoPj3f5jbMcf8P4cLWMfCRyPedcbunD6O9Xc/+TbYDcUa7BM81l4JMX8c7E/3FWvNIQ437intaay/++nDbv/6uqYMfv1hI0n46zlXh40oZ1fj67/9+Pq/Xv/l9bufJeKA+PrXr5xwuGCNcCc/+qt3eXj8Yd965g/vv4bLvv5yBz+f+ckHYPLkKH/78jevf66qAapGqPor/Hdy6fXvYYRfv/6XFX9e4Ifizyv8v6L4/zMbPwX5Q9OnKP9nKprfLYy5wn/w+99A2/ZAhk+//9cXeihd9YELPVZLaFDH11Q79t76+sMfXr/77/71L/73IeywnXifWvAcKrRSRgFcSJrsG2JOH9iM8W+oA2csFD8qAk1XBwbCSKFU70tVZRtCdvaYo54M43rsmg2Og/CnfRxhzigIFDU3TRhHitp7yF0dNmSHrbA3j/ATVR2wJQ4EZ+yKQ5+O5HrxBQgbw6sjFzoZcGiA3VSlc4SRfeDo2JcsQyNEchvvqluMigWAs0RluNXt4doYvoWIA4xqDljaA+EBeiRdaXi9C50al+JVU8MUbiDu+5RLV9VursfYWozVD4MiwdWKXRhA2+DRyQGEDpyoUlb14DeWCr/rIwD4qpokHLG6hw2BlnWLQBgK0/8MQaYhfANKd4M7AaKMnmrGb9Qv7NjZETrSAFA3RLrBc3AyBI63GOl6LcJ2gEuaOIFc6BE4bu4o6uA8HEGRNIhu1LFxfsdaAYxJQbUeNrbRcezCEtD1gNLENRWbnSrseZAmUi5Dtx4Gxtqasd+yASUaLsNTDUqkUgPWeFBdA7IISgnhLurRkQNXH3C40z0fsgGBFFNX1YEhi6NBirEni2zICIvZ9G1YSQ1m0yMdPy0yBRH1fZh2yDUBwviqb5gcGTAYW5Ue5vhxITEL9dHT/uaLEFJtLsE3e63t27QEAcf03hq9OWmiTFG10uHORZUdruKUPFoZD0t/LotohHgBMJdrGJpwwN4NL+4NW5UqjN3HxVxj6b3rOr9FbGzYjrGvRU02wRiIF5jTFFQb4/vaYBgKOGvpVs6thdLh/0EduCK6AC+2Ahyhfh4RRC4FZ2XmGbUPdLBDRVyGH2mycLeGxU2soWpRnI8dZ3YcpNXPe6uudUQifF5VlXgLkQdhbKw4oUTdj1qGIyUPjNuzOt1voVeXKlAxTghFFccKQfAIrcJPR9b9zkeHkeHRDDiqBbFaYpvzWNSxAxMpMcReRtcnEoAUaCPitFSrIRzg5AEH8SGqBjkjJDEceED/HIBMuh7AJjgZbXicr7I6eHDYABowRNVVjkypYFzLDALFAITiF9UgPrP9LeFUPnpRPxABIQEhwXK6VwPGZ4yeSq7qB17gI2ngHR+JsiMzqYtDk0EJ5q7zxNqGgTd8JMpu+EhWYsNH4sAbPhJlN3wkyQYgGW6BwTJ1OMdkHO+KPs9nhCQPvCEkxWzPCEk22xNCCl+JkFpCHPDQCK7/bcajkAFwsAbOYLxm04S9g7HxzwObkCbbeDYAjIFh1HERmpnTQ5ApVR0YQGbk7iu2zqQPPFwioGoIXppw6C7g6J9C9erA2DBTzw1r8JFwEpSoCTtPww+hP3JZwsiDWT3M3kpWCCPDnVoPsUA+qlOdOtNIaQKOrluZKgAh5axOXyjzno8hX1UCoBVAoMY8hldtgcVCwFMB9lXZ3AG+4JzY373B6wsiUmixAFLpjtEc/zFjwpMqDKCdcouJWRCD4/tAXOcjvPQBeCRPwhaIsweif1fdDusOJyWgUcxLUecbK6W/B/8Ua1EVn7fzfvRQEXMMgyNq8dSLRaA6NaJXxIRH3q1psucckjQxwDGhQQ0/bwg0cWbXEUWxZyX9A3kZiMABUDX0AAaE1CLWS8pRnxig1j4qJhIL16AGJiUDdDSLytiUWptoxiKcGnwUOFcPutwOgS9bBnLVtxRmm4B8kmHVQjhCBfwmqcJnjKR83jNGEgfeMJIou2Ek0RIbRlIm+hkjiUpsGEnximeMpJjtGSPJZnvCSPFLMVJ1tXamwMdD9SSltTu2QezK5REKRGHsKpUZ38cG/rlwYACDQi0Ur44cXQgIRvVYsIIWCcI+Zhwcq/p93TVMDCYxPOZcGJiGG1iDvElXhXFw7MxwYF6TJlyhcYTNRmjq52XEZhx1gRejKnu+apPGLan5XmMK+twFVwAJAHq8+m1vvGaG/xNwqOMW1xsvEXnDpQ4MINNrSkzXZ3XyBnxz1JpZ2xU04eKGbx0odGRVjcwLF9ZV+Kx6G+ajdsSiuLJHn8sCLCIst4RVq7s8ljI2k8yqvQVwpaU3EGZy5D130t0+EuQGRAEcJJI+3zikeCYYY/LqhEdWXqXSceyoSTXJG8VzRMRoI+neFH112IoRv7C4DHODo50fOFzp67UBi+JEk3NMegSNjHTT2D7pAZdIDXg7de9XolgaHOIZyjB+VVXvGHG2wZ6Fg14yrNwzTFI0aaF7WLFENdpQGjsFhua2qEmfkZKo9Y6UpIF3pCSbY0NK4sAbUhJlN6QkWmJDSrLCG1ISldiQkuIYz0hJMdszUpLN9oSU0pciJV4lZGx02Oq+GTBLcc/nUuo0oirscVL2HlYsj4v3z4VZb8r0aMD2pQ7MWN0KAmT1XR15uB4Lbz5qDerIMDhWVGo4vRVNGFpUwqSGjVy1HK/nIAkYmHXDNVd9AVAq4XGxKWgR5wJAnAnDMPKYJVrYWaJujYCdPCJwjLWBCt/He7TGtwS1GNwoO09DN159aNJ93uskJor0OQkJYDcCFePHZnDnAMSGOD2C6kdvhcXe2FKAeFVDYxk3QkegeVVnz2o8oKDhu65xqNwLAcMQzYdlveYBiIeNVvdnovlSSgql6CPjMMH6ZV+w6T/yYMK0JN5OA/+33PTlTTCB/Qcrq9aie17ACg+5sTy46RZJLO/pkA4GYeyxbuAAB3w1dEXmOxgg6tLXjbYYHflupGJ7afrU0CQDmwsLxpPqfbOIidXjqSVDOJ1fWerIBQhBdUGmBjE3CfIh6xH1CjKJVsEhCjive0PMYfkV9gsg1K4b/HwBJ8pukElUeYdMojkYc7Aj8nGDGtynNPZPgCb8G7rWO26Std5wk2y6Z9wkD7zhJsV2z7hJ1OIZN+UvxU3F8boAEX7lEooUdWrnsx0WFqrCOBUzWYMY/1iNnwuz1jN3gCG/bs1FNRDJasPR/HG39rlwwscmH/OoWf8+Vj1gZfEaTtc5sTRmQJHwmElh5Mq8EddsDV79wMIESE4l5VW6JQ1dHAtGss+xqEoPut8YPISGrA4daL3SWAWSdOuNwbM2wi9MqM4LHBmLANgXEUH9xh4cYCEPoatq5HPhxkdClcmYpA6cuvMAqEBx+QEkRY8eIWJeWo+qNWi60cYsOlVn5S0VVmi3iJUYdWmEdEw5k6ZYX+o3hgz45JkfwzFDnRfAVADl0Y9SYGFk/DTvh2LUv/FcqyQtRG79wE5EcV3VgzsoK1srVqNXvxDhIxFVIADrS3HuLyG01PV5yUwOYJWvDJb0gcQTvYYeUtZtd5VpEgdH4AcyRJxeKUZpcAK+hEnkO0vdILXzHU3kEzxNEbgp1xZwhb5sue0D3gMGFX3ggTN5xzmUr3/VkOcyUA12/qLvcGfEJH7djpjEgbckk+xzz0km2WrPYElWeANLohIbWJIH3sCSYrZnsCSb7QkslS8FS8Ph9I7DRV5ln1U6aPNkAa/rj63lc2FMY+48Ajwm5nNRboWthMqrdlWHCKgE1IGw5B9Hi8+lEb8AexIv8VWFeVUEZMcjeVcHBlJCTMSZGZOpCjMrVhJ/6rrKbxlH8oDzNdP76pSUBDNHFqJndWSoHLFBTHBgMEZgiW8D0k2xq1/ocdSHjX1M+hTyIhNOFEuvuh7zgTQWYjl2b2FkeBLRroexVZ2BObiYKq+Wgq4JDQKwweuI/oB3gn9EqM1TbVhvmwThjnM70CtsF1Q9zjdz0mLJjEyYFfzKsACyR/xJ8Ka6tkLBIEDpsWBpAQNVfd121yoCNU4uQR0aYMkDtGWMjYinil+BJTGKwaP6JKZQbZId64gR79Y2IAyMCM23oiNmPSbgEzOrdQAJc+2qHvPubDBG5pJ1157iPvdUS1LD73vBVS6x+aLqPVEe3+CVFrsanrybBfrEkAadmeYMBdtzT+rI8wsjawPxnfpCOF/LSUrviEkceEdM4sAbYhJlN8QkbrUbYpIV3hCTqMSGmOSBN8SkmO0ZMclme0JM9SsRUyWHCDaMNh6vg5uQqaFzsk7ykYn/XJb7bRuphzyGKszyapwWkuf21VTp6MiDg7i08vCCMDkIcIYLhDfqB/JdWeWxNg9dDRKpkGEowvm6OjTgSgeC/PDIThi6dMSwACjLslR16AaX6EwRtqTOYSR3Av26pseeKAjD2Xqs8MeQdEvH4rh1Bhb7BNU/ikusBAUoU2UrMMJIxTN3pWuRHWu0Sk0GlRFosOnH+ZQwqTMesHKwTjrTNAZzANkX7nF5pR8F6UH+BN9ZsK/bbjjyEMCVQtPXFhPI2GiZgazqJ1YMDRSEU/7Q3WM+SBhY4kRN+ieGSLAHeB/T2vQF3wuVpfVYBl6PNgBBCJiIwMdN9ufC52Lvz2XPhAGSpV1rs5T9cW/7uSyLnhgK/GLAEMb1vMRGyC6A1QZh8sQ1BMeq+uj5JZw48P4SThp4fwkn+oUDQspAkE0fOSFCR4TRXILqzOe8kqjxhpLkCdlQkjjwhpJE2Q0liZ65oSRZ4Q0liUpsKEkeeENJitmeUZJstieU1L40rwQXbS3OtMc3A3Yh/8OdnjfojzqLz2XfeKJlAea6R/pcNjK8DFb2ZFUWth5wDKzWqOuAo1umK+O0+ThCStKJcdk3nFQMOg8Ik0ERW0rXhGFx1vVUnLBU2bcyM+iBtnu8Nf9cGmf7QjqlGFtWhd8wgUxdlFUBIch2gJNUIj4welUaIJRkRjVhlcesjj26m8ShFb9SZzFgFtPAcROblbfMIh8EwXTDrzSlMDiWFaM54kJ+RAXJqSPr6nPl4yR1ubwNDyiInSLjGKKOXTLpCltMvOVThSfpZwxkdFBN0madDKlzqjqRKRIX8Jnp43AjmbqyVAzQuPikB4/ON13ApCPrKp8ZAyRZUuz04XU39bO6v/o2gkF2B0iCJa4YlcShgZ+xEA2y327rSvQIjvqqnSm2mkjJtl5XSoN7nvQ4K8kQTicPFCTzqsEQZ4VpPmbSDfbYKQNEJXbKAHHgrWJJlN1wkqzEhpPEgTecJMpuOEn0og0nKVbrLLbthpkDPsEhhbXBhnEjGbCxEw51lRBnZ0TZsq5iZKM9oaT+/1cuaUgntlh43K2+qMI4sQ1WGSIYJHXggO07VCzXkpoqjdgM9ApL41CvDw004ycFNFaVqnSsDgf0yNrcZvhCSHGzDw9oLOgc5otibMWLgOZzYdKP89qSJSDq96XixnwzVldGSzI0dhRyFuLsrw7N8hmyDve4qAI/Fy7EX8wklQcclb4vBVat+FX/JBiusOBtjOFjUpWIEObzssxQrtui8oYCmDgfUENQhJkQuGfpADJNlT7TBgiGPl++SQ5dJtFi4bmsqENjz4TCZL9UnSPg+wC7fMCGrLsdPzB7knx6g9t1P2+UcRrr+vrmjTlZTOpQR8Y/kHIBmCAWr1qDDwAGo+/QLVcR0mGOglCgyrI6PgT6UtID4yzDIgcZMDzwtvqFF1VK0uAXVUqCODaHgN0bv4mqT8+ndh6IFJOofyapmisZ3FaZvqiGxyYeaxp6WHq/pasYGJNTdQ+hNOne8K/oW9wZKslab1BJHLiljPlu6l7BcQudepSuuscZKmlmfkopiQpvKSV54C2lpJjtOaUkavEMlsaXppSwi08wX/sjXRwkYt7sEKIHAIV/HLQEcVI6ks+78LGbKh1nrWqIa1eUFOGBL+eWYcam68F9AAumMyetjw3IxKXI9NLjOCSKBzcDJe/Ngyo+oDh2xXjUqwrCGbMZSgBuCtWg+KDexKirOFgySgIMQXjyQJ26Jm9lsmV73hsOXZUB1DliISmfxeIe88MsvV+v2CTpxJsIHrpYt6G7Fe9DAg2zXvsI0heF3pIqdPDEViyxW1YP2VMnWTv+hsEsOMlE3tvlFIK+2ma98miN8duw2jy+tJEagpVPFi+PrsRGBrSVYhSHPz+YE9d+Syy3Y5bRspw7/wn4wWIW1gQlvgGtAP36l1J88PKxxj5MVuepDRPUgv6dpOBHOCfhry5MvAHhGkc3OAvTxThqep8Ni+IdVKUGmFkMS27mtQAdJze2wSbn3JP4mXvySR56Z2OSLQgElthAoBuW2+Quq/hEr0tXFjBgH+yLMk/RemetFLV+BlbKyBuyEkc+EVfKQ+/MlXfIvZWhd+7KW/TesiIbe+XXEnx33m7nyYrxMMzn1JvYNhkcsBi8LjyfXbWMv5XD2k4EPt3kmOcaKa+Tszh4hNV7aeMDmpDIi12v2E7m/bk+OBPfiGyJ2QfD4CcqS0E4kSEpxsZi9qJrAszUJnfWAVElo2DraUy9+dwNn9ny3BxwwvRN1yXygV6nqyyGcMFT4iycLnzGbPjMzMUcYPF2xHuBtzozULQSsU0ZLA5Uw1wW9oesOxY3HhiwjXFQA0tM6PDx2eaq9GHx2hpIh5PIe2Uw+Rs25IrF1vga0aDMGWFJH0rk2WP2/UCHkrM4ls/lQlIQwwpiymyQbqTrZrkgJJDXROazdICsoRslExayQ083rOTK4nZPZzEEw/OlnmgQxBQSrQ8gSa+vnwlpPKlYu8kPL+CVRF2+s1xKQ0/68sCgv8CBzNjdSTHjq8WCJypwmSN6h1aik+xP6wRpFtbCVWFwy+7w3n/Ep+PBiSK9Y6tblOC3OMFvkYLfYwW/RQt+jxf8HjH4HWbwL6UGv8JWEhNvY90nAttK04hkoH3WVoTHtYs4ss8DO3wdBjWqSyyxDcd9laQGi2x9woT65SeCNNleKsye15N2QTpGBOOQ/UDUHPrYBeEVn9gQeqI+OPuBIPB47vL64I0NdXsqPEx1y9x46oyd0iCcXU+zf9xYiE2wiXc84g5fg2EqSVjOCtDsgWYM4pUlRmRgSke7BYEqOY7JDV9yOtJighPyWRCbpOCnbLEhgsngS7BqkL7sqSKoXvnGPb4z+OiL7aKSXPTyPC/qoq/H1iMwqZMFBDEfDpYNS2i4mVgcABG6XfjOl90URzK47VXaSmxO8FwoJU4Pn5eQpy5XiyJYEuyH5hENDV57CaxukYdLurTG9Zl4/ZstjthI3pTYSjDoo1N1cpZ6EqkaVJ8Uljg44pzcqyWC0jJc/8XgiFf4SiSY3lNXMif21m3lDpW4ovSOru6QicvCO7qSR35qSSfLbj3pFNNt2OoWn7hmuw1b3WAUD19KKX6uogoS2TW70gEtjTWVMnu0Zzcl1qzp4qyZxu6NvX7NpsjnDcGKM+ZqEiFIJ75ZrjmHsiC7RD3sGjAKqQ8M0pP3gDlwthKJunjBWZd1SeO4GBBUGcz7+eYPFgFRlXMrX0E8NB7ssIAXf51ob77GrKyCXn1KpLkc/In1J7EYJrOxLG5MctCiO+FV6blolgEPj5jNvqqORHF4i++DtJVVF2c9PtAYi4P0+bworZI04aY2Qi8fOgBLmjBp1WPD8skGqwzeC836o8XXLogPMpvO669iGfyixEpanmScbby3r9FgFr647GNWvxkXBfvJYAl5g2+dyqzkCSosOGANVx26PKunYJHK53IGx404mRJ19FENgQVhqJCmi9un/pmuVoSUcLCDS0P7aZPG18d6WHlvFQiUh6/tBs+6wlYiyfTex07hNd/LrRRV9norWZcdX91iIJeH9nykkhYPvyzM+sSQjsS5bMAaOuKbwU1m9iok8tUOkx47wrrFQ65Zb0NYN5jIw9dSkWNDCdiVxwjrjCzTi8dYcAT30SAduDjJ1c1gq4pjA+IDHhbUrPgmsbp6tpshGh/62O81YxFTmsu6fPhcPFWeIfgKPXVd+m12Pxg50CoWzTMvQljZsdrfCkzc7N7K3jD1OFZJY7OaugzPPUtXhS01GpOGq1Bbmh+ETgQ4Xt8YZpOrsyFGxPWETBA+V64rM88qHe6DXf9GVqNjaQ5ArKLP5dXFoMRsHedjBbb3aIYFUdwk9mAmyOCy1bucmcAcR59rYXpGciMURIhQi2X4MRwJ0RDy27rFkSioA0n9saOMbIkUM9GUyG3qDV5+dTcokeQjMEOhaHDxNxrRsznJkXxRqLNxXuLqOXZlmX884eQxeICzuG6kOqxgKiXrygMKlRaw3LpBGCgLe5ZHfBuG+X/nCB+ZNDZNF/ds2Z3I9pR0X5k2Hx6rIuuT6SfnMdmeVo9lkW6b/S2wJLLugxfZqztU5bLwjq5ukZXLQ+/ZKznIbtmrO1TlitL73eAdsnJl6B1d3aIrV6z3jK6+lLAcm3cmEwspyx/KC2Sj/CnwjU5dS0HgM+bcV89lpgvPGwW2k03DIk2O/zQYApMqPIkIeaRqx72J+I2thTjzdN2gSHZ8FJM7FrxBFWz1nTtmXg2SpcFJYx0ZTNbjKUkaWz2/kP3/sm7CxKKrxg4ZXf9MHuxZO1nGATeFr2RbCqLq1laIkEzIujXg6t7jwuyCOJZFmtV5eUTdhhe0nLLFIQhYzfeaqjTWJ0uxgdpX+kKgsyb5eyXv6AGqRaM0h5ASIg2pG3Fiq9ywlxS/7pNERnDSkLHHzZE0ErXpDjMfPQ9WBje/KmsXveuErUTdz51gRGXOLwUlZYpjAXziUtKlr5rBSLqQO6+wUUpalEjy6IPvkltp8Siglvido29MG8doWKXM17B+EQdDb/BIv7cZloV3fCVpfapsl9XYrwdFwusdYMkc3RvAukNtrii9AyyZsHxLX8mU3lv66g69uTbhG8C6Q3CuDL0DrFsU54pBngHW15KcJ/LlIJ74uCCTwE1KqrlKgrWy1JfomLES4LI9Lq+SGJYb+YRTyEeyXaQNZ06nhbp4GaSxIzsTdBaqJ33sySEXcBxN/UgUC2y7nb3hB1+Qr41TojBnh9cwMZlu70JmYwSfcdwoCUOn4WbTpQR8oBu8cyPxZGhYPW9FEw7HKIUddgTDZzZS0WcfWA+ki1cyYAdSRRaDDQFVGAlzKDnpXvjWEykPWR9+PDQUfSXzgdzg6zHdiNX1XAn2usEN2XAZA4ceVu8eSRyzXxKj4YfLk8/FByJDYt9utvsxfKan3455Xd11K4bBVGdmtxjDYm4EtYwpNepmuYJXkhHZkwSO1VLTjQKLAynzdeRxsymyvJ8rsCRmfxxo4Cy9d4MqF48GJU3YenNWbhgchYizAw42YKWoy887PB4KSC+iKz5r1VlHkIJhtV0WX8mc6fsFoazKdkEoE2lvtFXy0Du6ukODruixoytx6O3ZoDzy/mzwDhW6MvSOru6QoStD7+jqFh26rMiGrr6WEJ2s3hF7IEz++FSRQdqlMjCjKa9NU2BuRkSJ81qrrEsfUZopiUH68mpQJbnAw7ePB8OBMLjjV2IJ1wWYJDJrkvGxYCOs5k+iOLcHnI6PagaJR51wFvt8jVH/StJ+jpCB9VqzTQ8JLgNXftPFC/sWdr62DwajZPbjyZWvfJpu8DcSSmHtA+9lXZWW2WHQYzPuBumUJgvQGPWIsjLd/qkASxKHfOIT09CPFwiCZ3F/6KVnzFPTzcikVEBgGQYfx3kjQm84itcXG6+oAX7Y7m2xrUqe1XkxjJ0eK86wNllrTdrX3g0WcQCzgdvleqwgqc2qJF6Y1nbU0QpE6Xw6UQEI+RbQMpt8TxBmK1tLUImcHnbKrVW3SnJANLwYzrYPBajhg16cxQxuyw/1M/qngwlFMnpvJIHC9mHRhT1+YRZovzrDi7rgmBe65ynFsk1w/2QX8myKiNw/G0B77dmg+kX6SuTV3tNXMhX4BrDuMKhrn7gBrDsc6rLwfj94h0VdUXoHWHd41DUH2QDWLSZ1xXrPAOtrudTJCYUI0VfDuyBSEcNZiYJWwa1As1pdiTiowwFXmlNgWvZ85MX3LKnrilzxXgnSCSiFrWj9atgpSDd6ChvTHSwLgtqFBNi+YO9ewE0in8YeGFmtYRr8LXaIY0myUryr4olvJBtprA68JLPrbq8HpblkqT22EkImXfHW3vMufFilS5M3IeMbY2/ZoEogFUIrrZCCQJ8goquC2Qze4ipMofK9a1hdd6WxkysB2yv+a+XFpNkkSgEsiEy96IOzL/PolY3G9cEbu0uSsPbg7BE9vGDnC/XAHALdNs8xiVmu1QVSnJ2LoitJnMWCrXc24zZ4OLnxeE2ZLV74XmpdgJNz6QZXmSyYMGHKHx74SbqT8B1zzxIIg+44slUeTVeLJdlXSN9CDnUf9bG5lLGxBZLvqcKFRQR1kBrGMPvs+0MMATwTDCa/QFYK8XtpOc3HJLo83+9EnNjKcR0v943os+53GCx4Wdt+h3ddMcqOru4wr8vCO7q6w72uKL2jK5mzfkNXipNs6Eqx3oauZGAAZyVlzzOM+LIE1nCVNyfZH89URAbVQSIHQKy12iQi49hziL6NlRCXaLxDIT1NOmqkJCbec2m7QMTrGo70wDSrc7MgjICSWe5UsCSqQZHgEBoGybnXohdZ3ksircBRrSoxXbNovsET2mp1JYhnVnHnTDCx8igicTTPrh4xIuifeVXYLowNp0Kcqr7544rtc/Gr5JU4P9hMeiSS0D+TIIWFeuVg2hD0ZvO7knyCg3td7+CLqwRu2CKyYe30PKtjEMZHMnhWfn/2ijB+8NVKNP/zEpRdLn00fGqAK0ZSFyAKdIPVU3OzOtJnw+h+Pk1NOEZ63W/ZoCDkmegsBisiyuJsBdiRuYz0FccCpsAqw7H6f4rDX1W3Sxzfns82cXprybBG2SUZEctnPgq1BJczypL5xveuNnIs33v/iVO6N/+Thz7BLIWWe0tgydJ7Aktk8d4TWDLx+JbAusPXrn3iBrFk6vENYonCO8S6w9muKL1DrDus7ZqDbBDrFm+7Yr3nBNaXMrfXwkwxoqZ/HKqjSKHKt0k4g/lHyYYgXQHG2N4Sp/umCmMHz0ztHA3XBeEInfkwDWs46kqHDpN5BOVYH+/HpLH5LH6w6UJ8HO+lwWf5AJZaa6vUXhBnX3k+6GbJji6dMTcsyx0pGOYm4HTP6wTE4qHbmx19mYzExrCe7MlW6bwKGTVHXbryIXrggTDok8m+LRx3sMy26OJ8klGYjrS41RsQFsABUOciKZKlMZXwrFgNjnXRQVkae5JWjt7LOm4I0thYKxv2HLVx4tTnWTEIZ+nRYsLKKkpWDJaum/ACW4nreMdWouJjUt8nPsFsuvysbPdwRJKnGIaPbOKCvTWPZFlAvGQj3fhohg+9KL4SVfEN2KojHOLYYVFmbpxs5N2yxep7BkuO4qHxp6OXl2Tz+TYaWyfm1KL4GVvJeldA/ZCiyYbMMpXAL+3JojlfQbFfGK+HLbps8Eox+DO8UmyywSt56A1eycIbvBKFd3ilKL3BK8V4z/BK85FneKVZ7xleKdZ7glfxS3nbW3DJ11RJHPewosgjjVMjn6iswmJBmqkdskj3dUEoCGfXEhuI5/VaShD2kw0BX7AIfyWlWVURZn+0bBgbJ1IseGI9r38imRZmH0Esykf1iDR2dayzrYgmjxoZyX4VBsyjlLKa4gnS1RU+1SytPlI1kt4sna6xkGo+6mMnJjv64PhNHzzPRiSF1W7BoEojw8GAHv4IKAJnO9AVjqOTWFaXxgqKgGG1r7oR6SuZYOJbQ1byGtYCbyBCnrXTBr0Dn2tiYZcD5AuqnOGV4FWABdgwI1OdBuEYKI1dWx+ZSbRIUhMcwQxjZ3a0RLzKCG7DsIgbGTkA3AweeFHVLpovA8jUyOs7g0Vqhlv3vFipxDDFBo7hw4Yt6HzOVomh5JytEoOrx7EO2KFGg68G3g7w9Wo2WI/4C5i0837f4FDAX4EPyksyTaSfqhBvNH1XICLw8zOLxYITUHke7FYtpKj5+VJQ3nR2SHWLrl0eeodUd+jaFQNukOoWXbusxw6pbtG1a9bbINUNuvb4tXTt5yvBKDADF7ZFGIMLrqjSbAqHlQZ3zasgSRBnx1kcR/Ev1KFLsx4JSvNh14HYBCbu6hKfuOKkWyyDswfpIId4CPqHzveLMRRyF3ZVmiz2GBfYNOkWJz0jeaM801a64nAPRDZsPHm91ZIszsc9XEAt6cJv5PIcrJgu8Erd4rwxQxCv7PvadfFKzlL27Vs8odLY53tBcTbZUJz02t4bvLa5Ermc45H9kdjGYbsB4LOqrqShsYYTfhhsNN1U8TJcqHxz6f2j2kmQhp+QDIhtrA3LIZMzKuHocMRlaerZSKq3UlIxOEqc1HVjAJyuTlKiFyIGdbagwccaVkRz2CFIsbFoEWVlCJngVtw7DbrQs5hAXU0PpMELewd47itVn6D5SLM0qBGyj4YPJetrCIiIizxVlmYvFx6/DJpfPRoUQ9b+aFDWBFE2BJJ3WKLh3g5HGTqQ1ppU+Yah+ZKbjRq8TWvMfsdvkh6ALuCVKJwriQUX44yshyevdjneOYpDYyXweceIFnt4z8smntRMeuzw6g5juzL0Dq9uMbbLimzw6msZ289PBqNEgss4y0C1DgQCL3AHjuik4EmPm3Rp6PBOkIUVHx9X6YI4z6RwQR5+dOG3DJf1GJlXFao0G4VM8q1U9Y9ktRAbOX847kqs9JV9/YY/8n2C+QZidyiz4rMazEcKVECIPOo69Yh00BuRqDzrNfEaeBUWSRMzmcMRtsm8Y1Cbu0IYIyFE6NZmdTWLLeJinJDHhpdUoAhWKevyIWP4gR9aGAY3eUs47+KkQX7Drtvl9FRQlN2fCopOxVZPmMtaDcuGTeawA5PTy7Burvo3iy5bHMM39vhhmM1ZNskDTC1dV4b14+Qbjt2w0i6r2cXBsRCmbyV9epjpwK6Ggf3wpqBJfMeOY4Z1TLAZMt/ClmZxWhew/7HIIOrzw7EHX+CkZolt5yorSfGLm0CFg/u5ykqR3qqsRLX3KitZeL8GvEPSrn3ilrOSaca3nJXM6L7lrCThU85KNsfAShjJYLv3losDm4jBma4w1S2OdsV4z5jqaznaT68Eo0B3jeCA40UrRyZeIFftADKF93QpWIYO5N6t60mUPDLre3nkWotdpC5+b+r2YdcWKWFx3CLjaCyGsQu3VZwvyhGLBcblOHkkY8Ts6vbjE0EcRVhpsU6sMh/+zsAgiGdHVsUca1uYSvpKOh1WPPbLZJiezPsdBKmK8XXx4IcjM3/GkccynRcM7ZL4IMd9Cq3guGaYIqwvYO/Bl60WTwwAETAjUU3XnStHx/QDIq1v+pIg336orEJZjaFEVcIsYmYCJRjcKyC6EEDyGaJhWQQmivg0gYQgunjFgaCzTTX+o+syvMNS5qOKbggVF+BK0KSxjTQQRFx9BkWTY40CJgN8pCMhJhHXt9k5EMgjVMPw7LDkeal61IiJypyvBRXS9a2IXbSiB55tME03KD6zUNC8t5WSkFnX84AbZsOecoWuZOkdXYms5Pg+YKZk8ZSLnNUdlnbtGzd4dYelXRbe4dUdlnZF6T1ndYelXRl6x1e3WNoV6z3jqy9lab+6EhSYvR1bZgSyiFZVGNGkkeizw4q6MDATDhlhNudVpXGsa2R/+lALLtAuNz6HKXFWk+mKcFGW0kNcdzySPfIApGE/1KDrQaY/GITLTDf1ZO2svfHZtuEjOy8nOim/Hs3UBOEY2X+2cg2bpgafGVjSFqOud2MXONIQIfToal91GJS+EisiNQZ5gyLnAiuJhjxxYVVSSwfDQnij2n1SnK81L3K/R16MF796NEp+MpiGCq2GftRYSYMzfwsYnj6k+kVyfhb29nl5aHEroNPRoY/JwSMCeI58BGBwcCxMVlPDNJa1xldtWA6Isov0VJxQh2M3ywsMay2+M7OTDmJRKUvf6QYiRM6hB8P0XGAqoaeAYxdCHDNHs4SIwHYIs8d3NayIy3tA2eAZUDOm47ZOpFofWMPV56Z7ypmXXdbjhKnu8LLLwnvG6g4vu6L0DqlkZvENUskk7hukusPLrii9Q6o7vOzK0DukusXLrljvGVJ9KS/7FaSSWMWxN3DjLnFtgAJptaNFcht1RUyRfxXf3DvLVZIunRw7S1XM/dDVJqU4ydDDaucmDR2zI0lDS2ExJwnirMdi+5BxvJqS7MeCH7oWqYV1A55bCkqD8yK1zLdEi6xTEm8UT6n4kdY+IlDEZ/Zh4Z1kWBevIh82pqfhh1Z0swTAMEDYiI1hZedkiviAk3Zj/z9dnBgis+ljy9UwQ7U4XsGw4qfqfnhFviC67TtgJ+d/1a2YOh/tshCuGeb/on5d4WVnGxu2VU/6h0Y+rk1jJEQN3VmAC8hq13CK6d2g+cV9oEhDPuBdnUUAizRYXKGAqGUizmqYI0/+9Pk+WY9wb0z94mNJ5m7wrcsyK0lxBGc+OB49GlYR66xIm4fQbnIARi4sC0+aVN0BsERb6likRZ9+gmWWbiIori7iosVDROAiTjXozVzbpE7rzeArZ252UZETwrrDza7osSMsmV18Q1ii8I6w7nCzK0rvCOsON7sy9I6wbnGzK9Z7Rlhfys3eGDn5nqcsvp0ocPS6MV/Up7jWgkCpWnHKJOVLHsvmIiU2swwAeuw8oYrzgMxrh4Y/YRicBAl8SgPHzbrmZEUureQ+jjJpibScve6YFyMnkipeGxsJ50lkqlucOIj3sJ7cpLrmubPwizavUdccgdAD13RfctKlSfEJGybelzXDfPKyL2SWVievjz7gqz6Xxloxw4RmRx7YgRhXdJNjpyoAwa2vZrmK2wLV4P8Nw9Dn7oLS0D07llRnNrcwiJNtvbElIhaGbhMgX8cUcSZniD76O9gD0k/HTZw0nfCVwHfvcCx99q/yVxKd8umRoGQVGLGw8L0uvklpuXEjZEavBl0YjgJcjZibuyVkJQBDNs9jmaoldrKfUgAsNMQUJphwQAEy/HAlLJGnX9wIimzXLKDCYfl4SyNNz960WR76VMUu024jjlfmi03CnscTH4quyEUVu6z1fiN4h5dd0XoHV3d42WXhHVzd4WXXTL2BK9FbI4JJ73xj2Q0wguK8R4psP2qz4AawbnCzxy/lZq+VfXNn5dryLInVOfXWYmctgCpceUKKfJ5nEGYldsbZoeJQvRCTwFwdHY68dT7R0qVZvzJSywXb1cIdIsl5gaETE+66TVjR3KBHDCzuMliFjzUQ72vSNZn8U3CsXo/EgWCUwcLt2Go4MvPC2MQGfMgXUtbVfiMxQSaGLNUwne/dafjkoevChb2DMKw/iuiEkc+Nb0S3Oje+EcSBT4HasPWkYpl5co8F+Hj3R0JS0gXD59LraGUsJCENj+WPPXD6rT6dnkErMAg1y+AXzZsF8YvbQcEPL9CVxOt8Qlei2hfpK3lwRDbP23WDCemJiWn3MQyfeUFuJWqO6Fl5W1UXD72kDCFTZkqyBIujzys/PyLwb+26/OwhVDiloQ5dm7k7F5yrvWGXmIUVPIVjg9Yjy8UNoczUvd8QKuTvJzKGewztouYnnHWLoV0eesdZdxjatZl8xlm3GNplPfYk1i2Gds16G8aSrfeMsb6Un70V3tCQ8PjINAhMqcORhyHjrLxmSOJFxxEss6XNchSJzL2WzGf+eWXEBU7nzON6J9VjMmjNtjM4KNV0MPdJ0qzKDcCS3uvfOMlJcZ4mL2DWvzLProidBehRV3wWQvMutGddE76InHcENRs+klREAHoItV2XTpNjtrAFdtKleUIZZfKYGsZubj4U7HU1bhat7RtsAmidW1n3T5KfYHhMPQuyi2Uya2QPoc5UwEJNn8uztQ5mE6DZYBbsra7VAoAVmmWGIvkSWuWD22T40saGBaNV9oDUB6+smWZhV1k9cKQ5KtMqfHlnmqTBBx+IcQDvBisSfEyqzFoO1gHZMKcklmAYHJiw9BHfetSlJ8crC6VqM0xRcqN3hvMWdLOc2zeLNiR+Y0HGsQMJ38jUGzAK4rg+9EVJu0zivldfSUN3Us+xktzwiRcl7bdo2eVv3Muv7tCyy8I7rrpFyy4PveMqkWkdSIHMikn3j3lZ6nFuwDal63EFrO7wsitD78DqFi+7LL23volfyszewswa4bi+KDuTRIkOqVx5e5JUYYaHDLULaytU6ZmoSQg+zTI0EzVYwzC7rnSb6yxkFp/rI7OWvDNlPcKjolgQB8arbVIarF7WokWYPI+DZ+Sk68LHd2wTGFm9rw/u4TsBk+rrMMwkcG9KNbAHt2HsQP4snNMBwKOueEGM5VvvNHK0WCXNKmHEem+ZIWbpQsLxK6ZmcJXIKvsBYJMeGUB5hhJ21wi7s5JNn/+WufcAEgD+Rl0cg2NrwBlisWVIyjA9xmd3owyDA+RJN1KYHUu6KmcKUUlv8hSQezd6i7MkgEJssmSK1xd+KLy6TwmOPgwTNNnZYe7GtkC6t1CclOI8OVpGx0+VKcagC89SrRJZwKgPfC5tlz/y9FxQnJ2dRVRc+OfKdjmq8NgY4VVeX8o0SWcBQTFsJn522ow4bFSDHtQ7t9Bjx3rQP/Ois6BolHPeStR8x1eyBXd8JQ+NEwmOR80QOKlHyg1e2C3uuuetlKE3eCUrvcErZegNXmnWe4ZXsiLPeav0tbzsONY1sqTkVROQJH5fxE0stIqddvmVxB2cUuhEQY/rJEF45uXhhXllcQVhdteYOYBRDGoAGWS2ryfhmv6NgFdw1wLPio/SeUE8smA9sGNLehwaJWk24gCCTNVgEe5RQDSZL/AMIydgTZbGPGpVpW9MblYa4CujQY/oeM3XMD1rXQpj9+wQ1uDAflEOiuZmKyC+kANE1Udn/zwyTwCwr5tY0WExl5APMRgc5W0yRjGD1rKuCqAP5hI2LOtlg2jyOG8pRzyYJETFCzN0JJDMweszGj0WGyvn2SlO95bZhgVIie32Vi5StiP7A/BGbhgmKRaHGcLPvXZ9MV8QMoiqX1wPigs0kIyn8gLKYMjLzoKi4ZnlJhmrYSWRToTkDWxT3gxLaZJ3YpOLixVflg4JyBAOX3QPIK8JlmgjFrcM3XiLjF3OEF0mVMHQvbZiWaPnBJYivSWwtNncbwc11XeUdYeqXRbeuESVz9y4ROWht9tBUfiEsm5Rtct67CjrFlW75iUbyrpB1Z6+lKr9zHuVBIbshHCITZ90Vk2Vng0rUvYVK26lSSSSVcAxdpD362QlaAJFOpAhNk9dmL0IQ+AzspUdE0YG7Ow9wFMWx5P4jWXmJHFSXv0WJfGUZz86aN51cwPuxVhxbvOt6fYLLKlorKqpQ//MQV6BHI/+NOJHpnlXEQCGDFpnmptbYGi6k/DFZg01fajWEe2HIEjyCbZUMnjJIH35aKEdOcBbHO2iUficAEEzYoN9lGtJuhQcI3yNNQTD1POyr41OUqqo69JcBuRsPqyGTZLiFzeD4nfSioVTn0o2TCgJ/WdHUaBJ3Szn+itZeGO8khR/b0UY2X9LXw9MGqVcuO6rIRLiTOMhDfCWdbXfuevxnT0O33WTTxgZWXfnfbUMH9lRZtAXo9e9ZVKhIobz3V7S/cXzYMikfjYsfrIGFibrssFtr+CVLL3DK9EoF/BKsjm5U/jGBh6gi1fHDTzAEQ1L4iqJJZONP18SysI7vBJ53Xd4dYuqXdZjh1e3qNo1623wSlSEx/VYny39ZQXunhkHkiKOtdF+zonKprxw1xpXWbkg7B3WWCc91XJBhTs8ZHYTrqrwBG7YfZLnoz2DeJ6vl0k81HRxlnJjAnw5aLKkwWMieU+b7+51o7C9YOrNp7DIVkV7Y/3SKiUaNMH+PbB2MguTVOnu6Fc4Z4amDx0LDrHAsojKC9UIilylsQRict6DYZ/CVD7eSEqzw7cqxCh+RF2ajYSYoWUzgmTQPGAjZA/ckbAr6+vh8oJQGr5XoEkyI/Qj0SCYnZVp7NSXD8AnKJPY+hMoNeU29BWXWLSe2NSqZH2SLu4IJeHoa/AFalvCxAlgSavNAxyy7V1uhiXB9tqZ74zzKswXZ9N1+krhVbWuCoJ1HnwX1JrJtQrjLrZZds3Wp2ciptKwg2d96iffQhoRgClmfX48aexYBtb1zzw3wZE+8szXLn/ixs0gzjybSAfA05CP+hTZJHvnZnE2cbpn5WI5jihSXD6hq1uc7bK9d3R1h7NdNveOrmSld3QlM7xv6OoWabtmvQ1d3SBtT19L2p5nkVTH/182l3iEXWfbl0T2IV06kCBm8GA9HmWUgjiODziYICD65nXpcyccRRPPNlxQJqnSCLIAVxlLYq16kSwbXltJ5jmCbpNIplVsf7WmtYolludzl0FBPM8mNPAWhBbdguSVKKUDKiN2mgYPNcLNs2XuM1sYhjTYVcFgRFa9EdHE3gzilWf70Trz57pbcTozmfJjMvjsxS2hMJtYYLyrjLE0w+phqVFvabak1MWvEliS054SWJImHfNTSvLxICcX5c83hBKV+UX+SiRh3+GVyGTO2QfsqKthtqgKSdsRU7Duh2H0wnYQfWB9Rl3xM7moGK94g9sJC/V4BfjjWXpJOniDSWbyCttbYnrMYJNzOxx5eN6xIhoCuBsc8Z0qAnvKyItGQRu+IHTifOKHIVR4HmbJlbaKusVvjVgXgYyGi0FeEke0HbAMX4MbotAJYt3ibRfn/wSx7vC2i8IniHWLt13WY4dYt3jbNettEOsGb3v6Ut523g9WYCa2H3soL9JVBzbtS209CxKkceLAmkzMjVXD2GRR6BPXdF04O96VxxGC14cO7N+e09wKqz42TvaRDyR7j7omYfYLgU2OOwuJTRowEhtKJsdF08U9zmCD+Y4c9MEDid7hLHwslVVp9iAuGNj3hcYkfvpIhknPa1Zd6+gGqcly6tVgklpdZxc+TH3TBz8xt0taY63ggAzf9kU3CLAy+xYh0Oe2mM9Ep8JirdikAGpXIYtkwoTFxnaQQ9ccXkImB94oGRQHbEfUYCYgW9bZJbySSM0DJgjicJZh8MJz8kpiXD6hK0lx3j555ouaLs0uQYjhodSSda0RJAeWDVu3GxQ5vxqU7IcgTsZNQHHDiif+IQPJPMUaJgf4JLXMJuXNECJYA8bWhOnA4ZIuxFZ80eS5hky64FwaECa6Zb1d3A4qypCxDYcOw+xPai12n+qrS72i+an26g6Bu/aZG7a6Q+AuC+/Y6g6Bu6L0jq3uELgrQ+/YSrEejnWRLVpM1ouDq/55XX4ZuKp80s3XO2OhFIGZ2XWc1uLwBxIT6Y0TFiZO30eqWKJ75/tBXvos2CaRlXfEN1LHpcNXRL53fDFgGyOLLs0DWIyxFfwbSRUv1bEWDZvhSgJJ7LIFOKKSwLIbFBkOW1tlB+WiSpMnoLNf4uK+EoT5ieSQWh2LRWO74r3Hb0rWrVdZzEeqihZ0nd8G9ik+Zfp41ye4X+Qy9ung+pCEPS/ia2SLkar7H8mJ3tt3H5lCgVudNxU8N0RvGHuSFSA6RKaJq2Hiz8RX0lz66BiOO3ByMwwOvRE6sTLnUyzdMGmQPpdFkYtwVbIM28tEMoINw9pxg3lIlvIa4gnL+HnZgx3luLeXfByTlElkhtH1Kb2ubZeZs0P0fCynewAxk2cJYIur47scgpiPTKRFXT3IJXm2Q2+efFYWD/COlIQjk3hVV51EWZ7VkeSdN5jl9IRQEt6pr2S1T9VX4vRs7Ayy8MbOIArjKFDY+LublCYTXOITWZPSO7a6Q90uK71jq1vU7YrxNmx1i7pdkd7zVjeo29PXUrcDdVTSpeTVfiwJJKqFL/RZq7O2b4FG3M1bxER2JX3keSiFWXJaPQQlcYR7rGDYZlEGCtLYHHAeJQfgUXglEdECbvKxDF9Gd1WctFfY7+GEY6FlQTow8+d58VQNnxkKq207exGtilWB/pzdygYr0vSpJEEngVhavIWS1pO1MMeW26oZkYnya2d9Se3eMPVsF00O9kCCKlX8nLmS7Bff35mmwbeS+nfWwMvsDqi3eisK4oUPGSEcF2W/uBzINYQ44bPuJhOMZaK84A94JTUbqHwNRoai4zGgtHyym/Tk5NDUxRvZTTLp1ErVdbkgFhWkL1JXwtDY5HHS4NZm8EK6IY8amH5LBJr9Gpid9YbgdtXJWRr8gppBXEBnagbJKidqBsmzHE6v8FgsID0Wvlc7dajuV9tOxYZ74ZVCyb1lrhQ2e/L/cVOOhjB+Qc4gc9+fUlciD/oOr2Re+B1e3SFvl4V3eHWHvF2ZnB1eiXrs8Erxkg1e3SJuV6z3DK++lri9O3ZpGSSoehhG4CqujkGCFIALpwhsqw1jM36nsE5rEssuiXvYfnB0XZobeCRz4fEORxJmdrsATqxIKOrB5sV85Z71oUk4Hyu5GT7kdWS2dCYM2Fu664PDH3wJbD6fuq55hSpwQb6PVGWTG6Ss9G1YTFKSI9VQPu5jxFnP7AAy6vFsUGLgT+wOhiN3PO6RJHMnF7A8WssGjwIqTLw7RpwI+thk8eysDS5BH/sCWQmK9MwXhmnM/KkqPthFkJX+sa0jujT4IAU3E1GWwRsCBKbGI3gbFiVZFgZ7DPS49hGRnLyQCCHD4jUZLH5BJ6p4Vg2BTVosS82xn9QYfXEDC8KnhoPaV84WNCUWw9gT5kFxRM5jp5Jpz5mzhAWHJVphRdSGPQLn46bbkOm8DsTRWKyhOxebQhZYhddaJs03wnZxaM8mHaSC1z+TbW7oJml1UpFH3pNWMtv4lrS6Q9UuC+9kDDIz+U7GcIeqXRQ+oapbVO2K8TZUdYuqXZHeUdUNqvb0pVTtlb3ySB9c1xYoMrW3d/6gg11BpOxuvMmK4cgvCGOT1QBH7l4X37AgHVwgI5UvcaWVRAZux7530KOuvLMwtic4SXnEo8Rf4mtuiCWsq2enGFU8JVbjelYWed2EqcOEATETMV83Cr+T779qbHHd84m8544dsRN5RfUJyoQonu/gs1GXTIRcWk66Z50J26Wx+8zO8TV8sfgK+/BBZzp5Moye58l7tFCO67LPxQsvj7GhYQ0VfUIvMlcK5/kpcyUsuIuOOJL4mVFU0qXNqkKS3hsiBanxSmB/z1oMCxTAgAAFMWgd7YSxA9lqAxlLgy79NlnmsMHiZKJLR3ZmGjyAVT1QvDEKYdax22eD2o6tPSk9LFrzxj61HNOHZ3rS4Ke8laj3KW8lhfGLvJXCxr3lrURpbOApEKEaYi3zVkQSgbWc+ofG2cM2zftjQ7QlTzHrjkcxhMMLgHWLs10eek9bicI7wBIJ3neAdYuyXdZjB1i3KNs1620VV7L1toqrr2Zs3+iuskiDS4K7XuOiBBGkWZ4OeBUXJ6I0cnSZIbCwFbpFGmGHL7XKA+SLWkeWNYfI+KN/JKuU+W6kj5UbkQbPLLwYg/UxqnDm66VA/tZH/kcQTo4UEgmxpFqEmbQY5WCCl3SufGeQJuV50OemNz7zB5ZljZbB2oCFg9T7sIrXDQgnryzGJSm57lOdaVYmRrI32Ls4+J/3pa0eLqK7+lIRLrE0dD0w7T3Xxp8NWhfWeDM33OvjwZ08NsIDrzG7YZVdpa3E6QmF19i8gF9JF0E+jMzXBoBsYT0zkcT76UpQkD5fCYqan6rZBenBBywVy3K1LxDjSZiN7bGr9fU6U9SbbX5iPEg4pHjCDgOFBe2pBF0XgOQwk63VMJlMWjXPLHFcb7JFVVgMkFlhuxgnpOFnc2Z2XG5dDxOTuKGW0X01CfP0VerqsSPrsZdayUNvWStZeMtaycIbqFKU3kCVPPQGqmThDVSJwjuoUpTeQJVivGdQpQy9gSrNes9ZK8V6T1mr/LVE7ecq9izx3uLUjfWIlfA4BUjSobo274QAgLoqzriGEyM5/Nb0S4MTzbDsK/ZiGJyd5tjC5SjnEb8zM5xkdlVbMVmg9+04kWJ38EcDNmlwJth7ZkXPQkuyEXFyJcn845mOIF06QnJrNR4voAVpNqXjY/bcskGRBPhNzwSY9brBJ+8ozZfqeoQoiddZd8EOJOnxEE3SvM4WxGwDEHVdMjw+AMj2thoWS6rwLm5UdkJZBLWSZ/kJUvB/WjaZkTcmZVKiVd1ZZgUIb4VStThidmQwH2zsZ5iiCNcKfI4WWrLMKBDtLNwnCZTuXVd07ZLrDm4Vo5FmU1cmzuxvZ12UaT3zxSB22Xla0ieJVA+AnbPsZuhfyo6HI/hZs2owo+PDZuidiiGGXr0ZlDRnk5uS/CjHdbk0RzwRZjYJGgbXPXfEEaTPbKKisK8h1sAzjUWPEAJTud4wORcYS2Ya3zDWHZp2WekTxpKJxjeMdYemXRQ+YaxbNO2K8TaMdYumXbPehrFu0LTnL6Vpx1+EZ5OIYZHK5c9JUAvOJgjisMvjdkAQpllYkeJXrZAgHF1hS0I44docZAJ4vowhzXjUx56vbsJsh7M85XPpztKihGO3f1SYSJqk4nAgRWQo3vCViQWZg3XbKegGPPdwFjVp5Lln5XsKuuI1uUSo3HrsBoOTL6h6cpA9rm5ELxm58ZVlMCjy1tndbWD9IA4aZmcvZpeGZhOkQlL8WHVF2NYamBBhs1Z97HO9leivF/yhgnybea5SEIG8rjifRCK0pdSOrpGSV3Xs8bVNrih9bDY1nuV+hsVwZmCQbMJiKxyQfMT0ZH3wd9J1vhJsqyJcDD6xTNXT4+GxKJz4II+8JLrwxX2g+Jmz/81s3pOTPjvsP4EAUeKRWJII12cdEvedbHArf2rfLCl+kbQSzQ0vGe2oGlCGZr43ttVASLYgqbPYzbwfWXmZhX4nEFV2qQ1VicI7qhKFt3or2SZ7vZU89I6q7rCzK3p0GNsXAxwg1sXpkjREhnm8AFW3yNlle2yg6mvJ2VksxFZdeZ3/JIJhrp0YYjzy8QLXcYQLAny3uj5VGjoBbyScoUbPujgJ83qYgDoa9CbjIPPlxD+6NAm9YQ4osxjqBPGc5uGPL9TXzZrINXvKWkmU9SdYJQwNWODZcGbSKqjijVUUPG57nw1GGS62Gumbj0IhSfrilaAgXt+7tEVgn2Jwldgc30GOcjznkdywuk5wwhRX0y1+qmQXnRYInN3PsZV4gw0JwGdbBosw+yaQa5KMnUE3OfZ4AN/MqqIjl3eLml00eXK5zFdR2WCXWIkjeEo/Upx32Nll4a39jaQ2zwLAEBm/0YfmPTOmkmRvhsX2zrVUA44OhuUTSSqFmJuCwSDMVdWGEyarHfQA9M7jxIZNvRhsMl/D+Yo4znyVrgzZs0jUkACCdLuwAdeI8MDV/1MUPl0Jaoo3xjagJd0sU3wkuCyOP3qYuABXovAOrm6Rs8tD7ymrO+TsovAJXN0iZ1eMt6WsFJp9tgbgo/2uzwzFA447AZjMZr9nfPW19OxAB2xnk3papRoibTBfo3Rg8agKA4whXmFPbms1fC5cHA6N7Cib17lb4P7GjlnC3Nh04TdEK5wEmm9Ae13XOmPR816fHWoM37gzh0rCLE4vybP7jS5NyhoYkFwQaxEL0hVqkyS8rdawknQesyQY4WExGkqTQwjZQmyIKfrgzIqMRo6bVg2Kj84Sb8COeNRPfS5+TlpJM3/BwCC5FWvQMg722eKxV9yhkjJXF4Jii4DInpWxeovwTs0uCvtSPY+aw+AotfMN7Jj4VPfZkslkiWNSS4b1wKq8+aSVb0QNseeErEQW9wEUMRBORs26Bd/v08jVUFYfT3H9kAmWbGgjGL7zxMwuag5VRuIbFlZWGzQPrszy3XIgA4UNHYfBwJR11L/0qphdCVp8Ioo9zGDFid3Yz6biDGn71FrbfNDuLZvV6UZQ5hbf4JXIcb4xMMgm2RkYZD12eHWHmF1WeodXt4jZFeNt8OoWMbsivSevbhCz568lZseBOsAmrMp8GEYmT+8RDns83BekAZgqDid1hJUYE4iUeTyuPZFbs+mKkJe0EY7FqI/99q2ZMDPWKzILHNqIEIhtvPocBlViI3VEjth9ki6OYFVn+79Yhq7KW4ERgVA9YJPXLd5dod7YVIo+dqmu1RJnD0Vd7+z4/LnXuB5My9Mzi2d8WJTokvQFN7ukN4AhhAPvywyTiQWDTQ1beF5rWVKluBL4tgO7m74eSsfsxI7o3VfZksQszhY/OQLZIOwblgQ7NPIVIolYDWbkW0FsUjj9pGzwRF5TRp5mSLyta18RnAeQE1zRYMfGq62WfTSFFeB2eC4sGdORS5O44kln6QM/NOoucOZiED+TJPSe9LQWxQn5SuB1+dD1To6N6afShqV/wXIlxpWLciuJP/9UbiUSXm/dBSW9z48F5aFr9bmVWgxexSsoBE8efyxR/6J3s2jBM8eVrPmewLpFzy4PvSOsO/TsovAJYd2iZ5f12BHWLXp2zXobwpKt94ywvpadPXIDwuGKT/K/KSTSnLP5ko/5qFUWpFlUgZNJ9SvpIQhPDkSc7I9CHYnKvTHxi8NvNagRHClSa2DqQJUOXGYIPgBAa5nJNPF0QiDJ41JBoK4eDudvPrBefOvS4My7ZRyp42rGLCneAd2YmSi96GMDArGnBdOuw/CV0Pu96WwJhqnET8ARk2lWHzxWrIiUgCB1c+MHLjNehuhfOBxL9vkuquvSfGyJEyl2p6abmgeNwHKe1g2KXFdc3eJml5dkAgxrDN/61ATCaoYfTJA+NuB9mN2gS2gGvYfn0gGSqYb1DmEyAMMHTR540bNZNDliXAe8L+xYoLugL4D4iaVLYxiiIOXZD7xghkwO4NgWOLW2uP4kZXh5whbCMR7FOiKpPDs2ISL3cZQwScNDGyAaNk1OurgnBSKMX45yVYV6ewNXMsv5c+tmeWicp1sePhlc8SJzdYeaXRbecZVCLr7hqjvU7LLwjqvuULMrSu+46g41u+YfG666Rc2uWO8ZV301NfvpWlCkRg6hw4pt1bJLXLrY2DLC8rESJOLq2GDz3ONKGEisuxVoMOBQ58fKnEt0rfCRMNtlFH3sOovTWWawQqygNlBYyohTH/gGJILmzvaqqWZ/1JYJjNhkLI/z8jMb9M6uT1bxccR6gcWdeHpyai4+VWnez9TsgnRMrvbJyN+zweCsW2NYq/7geBAo5Vl70cLwbVFWSYO36kZhO9saDJ4S6Fh9vDcmMoxOZbATs0Cv61a8omKQ7ILNPnmEFdJT6Krz8ScAVvXHszJpBeXJClpiTIspTBr9vbcTjJiyYYGyxhrrOZKcRFf9ou5KpC3HqSqzJWc9sh0Sh/pMdLZQxpHuEDnU+R7af6wXFGmjea3FqjvD8mfDdrZJwscahn7vFtiwHbCSUv9O5l2Y4+azA4sZ2S+QBQrY9A0r41tLIICEbhGnYQA/ePodurt4l9MkslndH+WhSUzL6vZmUgRBzmf/oUZcZhjfIJYovEMshWB8g1h36Nll4R1i3aFnV5TeIdYdenZl6B1i3aJnV6z3DLG+lp698Nosx3K8A5NIUBuWL1mGV3pJZPaNnVTKxesjk+uBy51liwbpwA7mOMlC76iLMya3AaTHK1BVGiiIFwmTrtmgNxvpITIg8OtDA0yQcjumdiQlJDZqiudAeoBs+kqgSF7gHVuJrHjrPH3jgGf4Tj65xEGz9HpQA0ik68NlxpPe8loTMsd9QcAMjWk6XbzPuqRBrnPTp7IyKffMty36JGFxssUgjhF98atKo/MJaJkl0Wt/kIjuB04pfvaR9rouAMKYfMwS1pAu/TYf/zLhUViEp8pH32frRbY29gbdSe0NyF8GNiCvW4Z0L+0bOZGuPD2GNZ3s7miY0+ACYmNkRZgluuBLcXrjTXgwuEAMmTyovMFftPHS8NnxDSOfT1Q9Lr7xahOHQzLeD1McBTosrODIhsEhjRNcwZGv6DM0n6gRYzU9AlyWYImK7CVYkkmuSrBkwvuGGBrYcEwX99PLyQ7rDcGFGTVogd8kfU1cwCyFcXyDWTLj+Aaz7vC1yx61w6xbfO2yHjvMusXXrllvg1k3+NrzV/O1z2Jk5rofConkx2U+XD9u5j4XrhiZnJVHXZ84MNl3sBLGypFJDNyzf2Ge2SxVmjoP9rZNy09E2nh8YR3d92aQ7mzR6HG2ywtLikTTrUyW8bhij6QJojfPbKyQ0Qev2O0rq8zwL+g2GS4Bd3CpFV2R4BDlMZF+NXSUpAfmpk+S/qrrARdnK9lGaBAMmjCVCnBV22o5JIh3Pp/PFXuswX5vAUuLFpxXRbp3Yzdz+ETsrPG4LRc+dL4F5b/gm2E5JBK1+RrYDUdfDzx2EF0lbCZdF69z30lMCFqMzohV+NgnNn36L5gZJGrlUwpL0OPcA0ece6gc2S+pGux31bpZ1Htv3SyFn5Ac2QK7D6sVs6gLK+nwmaTJMeiOPcfh+EjijIMlQiR2x1k2IgAZIvjcj7ExlANxiEbZ2UQlYcSegX8eBn+9uh0U9dhvB4WhK2zN5G+phqhZGZCx2ru3LMoLUHWHo13xvw1U3eFol0dOfDs9ksV4VBqHqFKqYV+4wFSK8TZMJRvvGVN9YGiPr3+Nf+N3k2AGwOi7v/jxP377w4+//MXPX3/448sCXAfYev3Dh9/GERzhAH79+5eXv32BaRCYT//Ch1/v/8b1X7gcZ5P/MJL4F777WSEK9PjO8Pob/OeB/n7z8oIowgqmMOZ+xewOTITRfH6M9uH3v//4e4ahjEXUAn5/DPP0639+efk5/nzin4/zz//udYJP5yvbgLAulW8ifRgVu3zmD++/hpe9/vIX22Rgwl19Vxaf6HG4RKD/wwvm+Pzrb18eH1/uP3w5/vnl59+/fPdX/DoyRMFWwC/l9ft/ekk9wngYzCeE11mHHOaI8OTX73/98qvXn/ztn/7hH3//40+xCZMZkoX4WO8w9k9+/Nd//+3vf/uPP2UvQwau2cILv/+33/77H376+vev3//1y19+/7BHgFIRCv0K/51cwv/sX39ttszLp5ZpwHkhssn3k2WOX39mmV89VLhpoVpcnSMfFvqf//LH/6qNTgeX188OLi9Y2I+vzMQAJG/jx5cOEMsd5OPv+dvBBiDzl4wfAGepkNA7jNLw2069PG9jXvh7NrfBH+bvK6k9METlU8T3v4e9lfm2vv1yvP8xjHD8usy8Mszw+nFY3l7W2U/zoxJs8pNS4Ub58kHjQp6BmPrrx2/DL9e3LUMcv/xh2sfHAMD9LDwnJnKJfxi3kJIrx7TrwKcevAV91rhcfVy5NMTTrx9G+zDsB/t+UOJ5Ng6NP87d8XUfp/nCJ354BKRvvv/nRQTSsHwjCHz4+/84ufM/nB38T7/94fc//vHw8b95+b/1O+uQCmVuZHN0cmVhbQplbmRvYmoKMTEgMCBvYmoKMjExNDkKZW5kb2JqCjYyIDAgb2JqClsgNTI4IDgxNSA3NjEgNTkyIDY1MiA2ODYgNzA3IDc2MSA3MDcgNzYxIDcwNyA1NzEgNTIzIDUyMyA3OTUgNzk1IDIzMCAyNTcKNDg5IDQ4OSA0ODkgNDg5IDQ4OSA2NDYgNDM1IDQ2OCA3MDcgNzYxIDQ4OSA4NDAgOTQ5IDc2MSAyMzAgMzExIDQ4OSA4MTUgNDg5CjgxNSA3NDAgMjcxIDM4MCAzODAgNDg5IDc2MSAyNzEgMzI2IDI3MSA0ODkgNDg5IDQ4OSA0ODkgNDg5IDQ4OSA0ODkgNDg5IDQ4OQo0ODkgNDg5IDI3MSAyNzEgMzExIDc2MSA0NjIgNDYyIDY1MiA2NDYgNjQ5IDYyNSA3MDQgNTgzIDU1NiA2NTIgNjg2IDI2NiA0NTkKNjc0IDUyOCA4NDkgNjg2IDcyMiA2MjIgNzIyIDYzMCA1NDMgNjY3IDY2NiA2NDYgOTE4IDY0NiA2NDYgNTk4IDI4MiA0ODkgMjgyCjQ4OSAyNzEgMjcxIDQ2OCA1MDIgNDM1IDUwMiA0MzUgMjk5IDQ4OSA1MDIgMjMwIDI1NyA0NzUgMjMwIDc3NCA1MDIgNDg5IDUwMgo1MDIgMzMyIDM3NSAzNTMgNTAyIDQ0NyA2NjUgNDQ3IDQ0NyA0MjQgNDg5IDk3OSA0ODkgNDg5IDQ4OSBdCmVuZG9iago2NCAwIG9iago8PCAvQXNjZW50IDc1OCAvQ2FwSGVpZ2h0IDEwMDAgL0Rlc2NlbnQgLTI1MSAvRmxhZ3MgNAovRm9udEJCb3ggWyAtNjIgLTI1MSA5NzggNzU4IF0gL0ZvbnRGYW1pbHkgKENNU1MxMikgL0ZvbnRGaWxlIDY1IDAgUgovRm9udE5hbWUgL0NNU1MxMiAvSXRhbGljQW5nbGUgMCAvU3RlbVYgNTAgL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9YSGVpZ2h0IDUwMCA+PgplbmRvYmoKNjUgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyMTY2NiAvTGVuZ3RoMSA0Mjk0IC9MZW5ndGgyIDE5NTM0Ci9MZW5ndGgzIDAgPj4Kc3RyZWFtCnicjLcFVNVL9z5OgwjSSHMo6e6U7k4pyUNzqEN3CAoI0kiLNNJIdzciXdIh3R2/w33ve8H7ftf6/xdrAc+ePTPPntn7mf2hIlNWYxQxtTMGStqBwIysTCx8ADEFNTVWNgALCzsTCwsbMhWVuiXYBvhfOzKVJtDRydIOxPfEQ8wRaASG2MSNwBBHBTsQQNbZBsDKDmDl4mPl5mNhAbCxsPD+19HOkQ8gbuRiaQpQYALI2oGATshUYnb27o6W5hZgyD7//RdAY0ILYOXl5Wb4azpAxBboaGliBAIoGIEtgLaQHU2MbABqdiaWQLD7H0sAaAQswGB7PmZmV1dXJiNbJyY7R3MhWgaAqyXYAqAKdAI6ugBNAQ8xAxSNbIF/x8aETAVQt7B0+s+Amp0Z2NXIEQiAGGwsTYAgJ8gUZ5Ap0BEA2R6gJiMPULIHgv7jLP8fBwbA36cDYGVi/We5v2c/LGQJ+muykYmJna29EcjdEmQOMLO0AQKUJOWZwG5gBoARyPTB0cjGyQ4y38jFyNLGyBji8Bd1I4CkiArACBLi3/E5mTha2oOdmJwsbR5iZH5YBnLOEiBTMTtbWyAI7ISM/EBQ3NIRaAI5eXfmv6/XGmTnCvL8LzKzBJmaPcRh6mzPrAGydHAGyoj/7QMxIT/azIFgACcLCwsPCwcA6AAAuplYMD9soO5uD/xrkPXBDAnC29Pezh5gBokD6G1pBoT8QfZ0MnIBAsCOzkBvz6cDfyJkVlaAqaUJGGAMNLcEIT+uDjEDzf6DIRngaOkG0GWBJCArgOXh55//9CE5ZmoHsnF/dP/rjv8b6z9WUVE7N4AnIxcbgJGNkxXAy80D4ObkAXj/Of+fyP8b9V9WZSPLv1mxPC4oAzKzA/D+hzzk1P4OAMDs8ndO0PxdMbSAP7YAMCvaQXIZCKB5TH09Fk4WE8gv1v/fBfDXlP8r7R9W+f/M/P+hJOlsY/OXA81/PP7XwcjW0sb9bxdIMjuDIYWhYAcpD9D/+GoB/1PPCkBTS2fb/xmWARtBSkQEZG7z3+MEMFs6SVq6AU2VLcEmFv/Jor8HNB4q0MYSBFS2c7J8EB0AIysLy78HIXVnYg1RFifItf01BoSU1Z8XKwEysTN9qD82Ti6AkaOjkTsyZHdWCOQEeEL+QkoC6PZXggOYmUB2YMgkACRKb4CZnSPyw/WyAJiljGxtjR6sfxlYAcziQBvwo4ENwKxuAXxiYAcwyxvZGps+WjgAzG8s/0GcAGblR8QFYFazNH+yATckQntIqUOC/q+JBzLD4nEKLwQ6PUJWCEclW6D5E44QkmZmjxBC0eyJP4Sgmc0j5HhwfjLM+YCfjEMYmtpBXgenp3ty/2O0ejRCeJo7PpT/PxYIVSMTSNY8nhaErImR45Pg2CBkjR2BT2axQfjaGpn84QTh7Phwj/8YIKxNIJlmY/PkJiDMzYGOthBhMrZxejRDAjB6sjqEut0TCCFt52Rj5GTxaIKwFpF4vM+H830CIXyV/pzADiHs5Gxv7/iQi/8YIZQhiWVjZPtogpB2cLYDAyH8/iMB/4xAqIOcbY0fRMT8MWz2v84eEqPjowlC3x7oCHlsnsyGxGBkC7E6PTws/1h5/97tz604IOHYQ548kA3Q7ImV9W/rv5whkRk5PSzhZP1ohERmb+P8GCrHw2XYPa0SDkg8Fu72FsDHWDi4/iJuaffIkAMSy58nyQGJxAPoaPdogAQB6R4eiwfCHuz6OA4RT2awhSPwicdDtts5P54Y50O+Wz7JL04IXSfIy/IPhpB1giTgI1eIWDAD/zgITghVkOVTIjwPMT+tUk7eh2VsLf+0crH8Nw1MIQ/toxnCG+jgbPRYZ5AnCnJdQKcHufvTlf1x4NEIicHokR4XJASRRwShL/qIINTFHhGEt/gjgnB+TG1uCFfJRwShKPWIIPSkHxGEk8wjgpCRfUQQLnKPCMJF/hFBuCg8IggXxUcE4aL0qHkQLsqPCMJF5RFBuKg+IggXtUcE4aL+iCBcNB4RhIvmI4Jw0XpEEC5vHhGEi/aj4EK46DyivwTLyMQaCP6jhHjZHqv7zwH2fyb8WV28D3Vj6WjibGtmA3zMR17Ov8QV0j8+LXJerr+X/3NtSBCPZccLCcL4EUGCMHnyTECiMH0CHzLwCXwomycQwtn8CYQwtXgCIQyfPkAQak+eARYIJ+snEELqyXMC6XGYHyWR9eH1Aj2BEFZ2TyCElf0T+FAKTyCEleMT+FDHTyCEFfgJhLByfgIhrFyeQAgr1ycvJoSV2xMIYeX+BEJYeTyBD0oPMn2qY6wP7xPQ9l+2B1F0BpkbOTrb2hg5P+H28ESBLW1Mn9zHwzNlagmEPCmWT2J6eK3+56VhfdAYJ3sjkyfTH/TlX43Lg8D82bqwPkjLn80L64Ow/Kt9YX1QlycNDOuDvig/xdz/bmJYH2Tm320M64PaPG1kWB8E549W5kFznMzA/3o6WB/EB2T8rxAfNOhffQ83x5+Nz4MUPW1tHsToaWvzIEd/9D4PivRH8/MgSv/b/TyI0//R/rD+T//zoFR/NkCsD3L1ZwfE+qBZf7ZArA/C9a8eiPVBvv5oglgfJOzfXRDrg5L9H20Q64OmGT3tzVj+aIRYH3TtX50Q64OmPWmFWB+kTOkp5vifZoj1Qb7+N0cf5OuPfP6jUTdxdoT0HuC/vqogpfRf/NdXMxDoBjRBnp6wM+EPsioPargoFSF0ZVwbRFhYavrwSbvzPSf41WSGp4U8YpLUTwdRQ9MivP4E5an84JEJL0K6vYshN73WFP9f8dLpYCiJzhXRA8YvvZfHreZAElM7AvNh7oQPKxj7USrEaIa6cLrUMVoTN++429g3itezbpucNnR4twG2gJwzdLJ4QvBHkbSmbZgwbTLKJXCfth56BKajbqKzuozG8C1MmGXEuWhDOP6l+4puxOe++fmelK7OBPajTLn2Eq6iYCx8bA9ZsrT+6B/TZ+RhKvletOr2zwQy7dtrX6pYnB7mtyywamtHMDqacTDsA8omM+9wl6SiKpdD7tlIk0mv+NtNNiZ4ghmISEtjZUziqrZLUY4YbrjOc+qZpaGYo7jx0TmlvgXzs//G0j5wGu4tH3NWT1adSn/Ly7r80ypQqSb9HWe5AtFi4rc8jdISynCSkEgu6T6GK1gHZssFrYjp1p4tyzFT44YMCvvpzNtnk4dK43fxJJnPFMZsLjFiKuiGTb3LaF1r2AraO19DC7lJBmxjviJY2EFy/D2oTREMRGIHa/miLOlI9uYzoxaD7vhjFobmUL5827yBmTO1+UEAfT5jaxipt2Gu3icr+52CmIJReWHdeI3HFI2gNXrzbcVg4VVjAD6fFoaeYgsGP/EPepae46hTCgZE5ivlL/r539Oc1F8kHYRJ+ZGgdz2X0SHFzaBlG53wRSt7w0Qro+NCfZu9ViRrAIwuuc5Ft0mX9tg05lxnaDafHKCrTXl7Hz/utnfFmDn/bqG1R/UDnvtBXYatHUzMqAGvh7L378+4jGog0XzuGNlIHYF2np/DHmNmY2/zu60m1Nf5Mtsz/cp/dknCMhLihrT1HTMZH84WovFMryqom2oBYVV/VBgfb7RNRZ5BZ+XRp2tkdhVkKBX6EKWNJ1mJ8DyDqxNDWgF7uS6b49Y28BCIKtMF8ny/jJozUYDbfic4Xq1Pn/h+PkXQUvuqEqciFF6RDJpymsls9VVvPNWp2xAmhl/PWZNYXH5brba0nKw/qrvN63Ok3P45+5z3Mw3+CwfNo8Jh1oLaX2qDI81mv0xdgN4qovm6fnQdCaK/UI6giBHcjsJsubr/OfST2qKOfCKPMRjt1WUYcoymsR5vJXOeTQ/6yWnvzpBfwZBhd4c8ZwJ3mxCWDCFL+ZB5IQHt+VQKGCDSgQnjLN251BEvNDxopHeKg/RK8eym4LRs3y6LNW43g7Rw1ICNvsqLo9w9XkIhg60KmkMDsT2LdHqje3s8MfMjHWXbHHwua0TKzQX9F7ao69ff3ZcD0WjpOZ7Vle2UNY1oWWLG2oi/yABfXHJSahq8zPhYqDVIod1EbfI9N33MD+eVa9ptbJLsXiMmQ4MMWgSvDJWZSPEKr6ZMGK6iEFi/DlySy01vL8hx3M1dGwjUzwbMgFyHdnOq6kQ/0xQLuxGYvFT4NmAkEjp/N/Zy/lWeaOBRH5xLM3hFQpP5TKbQY/LCgsQhYRtzIRVvFkAdZsHnxKjBD/fWcNUHtRsOlaPN96WXU2CM/HjmjAntZPuODuOMB7v5uJISe5S5ctWvFE8i9N7fTFAuMj9NE866ip3rqE3WX7grkArugb52UL+4JuPE36GrCdZ3AMjMDXbPIyiFZWyqEp3dtiyGWkuMbvvq2WnNX8WMJcc7Mj43aqvUsSqo+DjD3Mhkblx4yVeU6Hc+/gtb/dPdGiUwZKPs8FdtskOT+yxy4wy+gl86J22sr/I7n5u0g47jOtI3ZMGSymWV43yBUDb1vqDj0/3XH+jQuFAZqWg5atnYwelXUHzVqC8rmcbTdFkJS1uKAdHpq86t7WiTI5SI6Be/t51/s+7zocfsW5XutfT1b4Ut/cxjSXbSBNGpPNdeDe/Xl+EKf25XO8eDDh1OG39sIUf5dsPvTfI39KNR4kI06bn3fHFzTrFauL2A2YaOC9WhHGCwaKvX9symic2wYMhAeTNzuSYWVdoPkU/Mh8bdOH4z1WNusJaBfW1vVTuapOhdoj9PJ8bREZ/gtFIOvUUPWVO9qx8RbGtYS1UUW3Z42avspFU6TzqHhCdyEpxeM/wBdrMyJ3HnWq4VX5nFmRyAsuMgF6G8MHdr+qosbDEtUEVBov5ri8/rprL9XPnhFHQWAy33DNQbJcUg2hxPin23ijsP8U0nNhEoxTYVsnZfC/PGxBFa0uvrH9/ghUIKNK6oPCjGatA/6Oz3JV7RXoxXb6P5OfmyDqeJ/2pPzheTqa9Hb1FDxq0fsfbslmPE9s2YL0tgLkUTfYGNvV651dJtA0TMbgLtuHfyn15sPpuUOSMvvWOQUZP8PfJDxpPAy9EGFyEz4gOrPFUEHG8fK4jVtisx8cXNEO8HnJdrY3iSrP4oz3eWzR25xE4zulXSuQFtNa0FFtVsnlB2fVLfnHWg9WQ+C4zSkfkPm+JTf2rpDwxM+XXcG00xuyRmsQoK4SOfJcs+uHD3bIVL+sxlUGDcFbsUorhJwJflxghH0guQjDbsZSAXYgoEBQ69nBUS64kpKnHYNhXJKx5UNuycNY6zrn3OpJWqnYEUOTuVhp+1JO4SZHchrG1fFnjfWolZOjwoPmVOuI4aohVfWdxsQCByRChn4Jokp3skG17M2FgusHjvEKDh6HrQx8K4pggfyI5Gfc8W+3KP8v0vHzHReY40OP2xXFLnL8trJws6vkoUutjJMa8zC4Qx+fxRHdCt/BHL5lg47nCjecu5mbwYxeeqOuwxuspgEy3mCIQyVW5j3RvjN2HLvxxN781WyU7Mx62hIKS+zokpl5NUijUR+jjKagNtyia3Uv9MdOFeTgGWIlzE4ZoLoaNsYlRDuYOxdWBfjr2nh5in4jC2HAGTf4w3vGZQfIeVJmLBcGOKv3eD1GvYesuxWSycrg81pAMFts3lbJf7tYCneRelM2qBowoAsWE9rFCs/iL9B5r3jb6NqM+IiNBRYiFzMC6q+l6MokbfudVYS4sgZ54yzcvVMNy92or0G/kdd1xi+YXZLL3KUZKc+1W0/IbJ9A9aryXz+ZnQZxxAFhsvD4eyUXxWgEHQec4XTdLMwFfuOzayeuvw3M+vkPKyejOqF8Wd5jGHjr86Y2B1zuFowqQeL1MmnpO5615yCjUL/upgDDW8UxsOj3id2zBQdAOIDt56NiNR8SEJ/H1iSLDXg0sg9avc9t7HTFWiPjW34K6xXis9ADrCgqJlWcB7SUpi63M+Rm0duNyTr8NAZpARejPZr2R27j40G6kmTzS6EEzCLyBE7cK5ifljHJFPacHH98Lkjj/myQ3e7hCb3Q2aDCSG1orbV4CBQX0V6ulufNc22INSxQLoFAamxiZY6D6paliaq2/kWLcUO8b5GJnSlRxNPrk4fOj5id6hjyvpy48L8LMMdnfoa3n5EUZ/EdVYZanYmGnV0HXXYnuyiW8Iv0ya8fQTPHLBR8M1Op1lokrU+j509haqmBoGbbDfdYybFuuiEW+jiuzWvWRWzYDzGbV18mvKDJ4cxQbnAJRO9VOHvJRd31lM9189aX2jb6LrndxSYOu4c51dmjvTKDJ22got4IC7/ZzfP5h7l94F5NEPzd3L5wjsNvDtDdS5QCmhMr7wtIKZeStTLQR/n7yfzYUTkzStHoF3XtijXu2UjlDL4Ne7UOe6FwBeHISR7kV1qTNCKfTT7S1kuDaDZUdjnTdioJxxlPHWjMnDiUUkNA589l774qO4hQ8WkiM5wZBGsL8vs4me7HicMrTcMpeeYaS0RJYNuVsM/LdgnR/fatOAN9m7zBXjUz7W3MS6k992zNrMmmdGvnfNBBBHit7eiUeu2yjRm0j5HARQB+CahatyNQLrwbLqnIsGn+HhNaodTvRV5cWnAkiTi0olqNPwhEosFiKqClITSnh1Ja/lLTcJe5NH5hrKGYhOkPy1YvjYasYlb6dwa3xvq9XCRJTfr5GC2AgAUkQKzvFVLPqwefWXz042szeM1p9JdjInVlE9j7dD7m80pkiG5WZi+y2bJutasbn2lkqPiyADlzKqNkAY1iPtU7ZaRu8a2usegHXGUp7sLork7zub69t9LrhxT9VvL1qo1LQuvwuWel0Rhw16SoIBnbQ0qdquJS6ZCblhrJ4SzUh1PIPoSHy5cwLlcRL5H0lWK6BkA34S2Jbp5ANl/GhKR0rrJs06m8vRqVBuiSwM343qHb5dXKEeZ5q4QylZBALg+ea9Ll8M5YF+rZhmzJKPeTbqVCkUw7blvRu88QrKvO1/rhnNgYzT+3ktUjPOAMP/c+tOdbQUfUbRIKIg1qGEpEbiWaEWsnd5AeP2yKsFac9EycHJpToH7tnySz0Kt1QkZqXJ/W85tbmgwtwq2oWoeOSVg9n4Vy2EMNal2jZoAd6WWKS/hE24y/DyPzi2v3ZLO06iQwNgdkQDFwdkx95EZt6BqowsWqyslthLPtFGB9hD6/Imf6nlKsMOnHfVJWAuCenUBiepCq9yeCN+zYMjV+wCHmQOtG5mYftTh37GyZ47ifmEVgiMCzNjtzEbRUjpdwkptswujQ3Tc09r2VoXoY74ZYa+WM9h4uv1GQtqFzFg0dwtFD0KtqfyIqApn0aUzgyB4ytuXgzaC+1RxMHTyY0+BWKoyvbnsHJGqwhfsN/1IHphTdPFg+AdpRmkG+rECI6jqj5Tyy8vpDD4SIJCdQOaM2djapL1yJMPKn64RrHlaTE0k1ZiQrOPc2B/vy0ShxlF8jaZohMtyVfwGpFbObFLRwucmQ254fLUdd7l28lmYu6brtwKgQcZOPe100gDNWW8lToM0QqXeMtLpJ+xzo1Lxnw4h+aWxP2Mx+uQ08+6gvZB/L5OsSMgxXewMK0oXpnOqIOE8lWPpUcWpVj00RshueB8uBgUol7j049HA/gHEdIoTaD1rrvf21LhA4M3IYpFHkRFDrfCAAaPdUO+5x73kmEhV9ctRE2WehgpEgeqo4TtZvpVgfde5+nlhJhJc9WFbFmzpPapw7kWKJw3MT4HYeh8V/S1J0o6L0aDhEivmWMZCquaUcC9PxA09Uqpu0XsMgNWjV9gkMTupIkbV3ylNVSa/oQ0Df0uu3zppjXSwnHMvv8Wa9puLwV/KuBlou2z5fqzYnOf0hpg4Cj/IYaAUibn12u0w24a5Bi/O3bUadUkOoMzyYvOYSpR298plIi2FLSHpTMxPlr6y3TRt4kx+Z6ZHwmRkbOcyN5LLDSbvh1MCydH0QgrGTvQewPXpdBv6VpznJ5TLMv3yvPA0yZfW62/IVdmiAqGK/NevDwnjrpsW8KE2VV8GI+V96BHDvxeiaGKZc5PCkxEvaQHFZVHFohMJqRCFB899GP13fykPvzF+Po3U0oNkKPgmOEO4QKSS8gOS90pzPlgmfL7rwyDn4GE2Z+ygwRZZHGTjZMZtNbenwfEsezFyQoYDD8/XSdHHUZX/UJ8/aO8nkn0C0ejg8knhjrF7/TXaeTGeVkmv4I7qGQUQ0nhb/odygtpMC3TEVSy0NNghF9hTy2T9AaDaLOOxexTctNbkTxr0hRPsX+iVX2CkQ5n+IyvJbvTzrWjo8oTtrJmpOrwWiEm5pWUWc7hmhvxrm0h8qZZo2pNY4GS0xce+RLWwR9VApN5OrSgrYjvpvg0428ctN/ixG57abwwmxRGILxSsX29Tij/zX4C4/yCfF5iUM9YaRRZKuaEUeQNtATOVY+Ya1CbY1vYz7SL9baMxru62t0kAzlRd6eNEuJeFWNCTvXujYqlXNwjJp5m3RDD+Rgtt4DCnuL78qvOUSTYaS6EqfDhBf6yIwUdf4s6/8uD0QHsewzGdtRWgyZDfOovOks1se58r7u0VwS4hy9sVCeH8QvPsMWOXDlamJcY2lHWvw9xbLWhWqrLR5aNVE+Xc9X97lvyJd/7fRKqNoMke7r4WoNZXyLO6FW9r+36bnU+eII+/h1eC079t+hetc3CgCrYBl/eH/wo0nRqW00iZOttmmpfSxJDfsHOQuWLNFzSHulTH93oma/SjVgznn8R9eB1N3VmOfxtgPZjpuFVKc8MR9Nr2xajOPI2zzJW6+SBL58td+y33VIFC6LLmkUzR0xxsaW5xUMGego/z6R+Q0DFeWFqC53u1+jOsFIfFLhEZaZ3726w7BClIW+yIPWGKaXlrKpgInPA//QlNomvnWZJStrnBovwpG38VktSC36JX97WJU0lTT+H4cgsZjVXSeROkZ49V7jQyDUdLN3CfvdmPb+CukZqrzaVTMGIYVsoEcOzPPbeV6OvJF9zzidkaYqaNXqbZXVs6I3Yblq/ghK6UqLPXP/Xfq56XenLYjFa0/DFdp0QH7hkBmseug8yq8smJoEsp1kKe799EZvbOPUuQYRwuXQb4wJcqKkSR65CkTsxxop0DVeuWlEu+930Mf0OWc9mdYBZBENjWxSH7DY72Tll1xmwvPbz9FKCsMRnQpUKo9SEIsSGNHa5cXIHryoM7p3mxFpG2NpNzlBqghk8iwdhv6anxPSxjnJgX207/6LxHc/4BO+OH5m7dlXrvLVnW0n0fL9UWTx5b1kb0Rx3MgU7ff34Ph5FWlKZ54pGvLuMFV1TW/ojp3Qngg3CqoTLOveKCN4euJqInZuMy/xVEnQC6IZti0Aj1D9a6L2NiW/RADzIHXcpDk3lwp++t7E7iuM89hshVI9V33hz+yfS2s2abS1Jnb6Pics13Cj+8uZIoyljYRSIqj6gc1fvdgrPtqLhpn5r/UubidDrOimcDQn1ZfVuHhI/sv6Xpy41GV7OPaK+LQOw3/w9CFG05Yel3CTCXTpCDtYyXngf4BPyGXkdvlBpq0mW91/CC9sjJnbbGGb1a5mk2u9rft3lQEgbPC3mRc+TR8zQZWYtHF9S1KAbQ4xYiQeVNtGcGJzIdGqRRmQ+7XdoiUUzN0JwEesyJZPQ3/ki6/T1q6vKeVppqaC2Z5hcdBZjuIQBr9d5PDjzgk3ExDz2Rd4WKarqtVBIM3UbSec1MMtyx4m2v+dPvW1EpPmxsibSepN+znBdbhDJPXa8+9NuGGpP/bfJ+7TONdj1VW56LNctm3hH39mamnAnXwBMcEbxVg32MAvNbN/u616T0/KsZYLmJX0E9dKTO/rvGs5eAD/6po/G5sjuawfQqRvqRysGGFmx2P7SMmN3XkiKO7hmx+SFuK/N+z2nxu7Y5UkJuCM3zFNSuysSGrZV4QxV5HjKSPUuDvZm4vzMWCxOM8oAfgLF9zxwsbns2jJVO61Ds947mAgy8WYqZuqKiC/lOHHKUD+jrBLFvnA0mKAJf2EVdZFIzcj4fkKIwDVkN7ACrBr2xbOZOeut6Fh8GSMlh0+exwScR4UOG9vUUlYOqebe4rqkeRjefEqnwUsVaTp8uxV9WQW/HX+L8TkbCvyI2CDuUfykJCyn1mih9BhE9fQYz2HxjdI8aJxDHqbE4N1JXM+obdJhmuyYzMxh/RT4mRwKo5cE6sfol4kzgbzyRbuSktgxPhfY6y6nbP7paPdhSxOW6grLQUXk61j7mdBYohFTkveLPhfkDZM5vg4vKidKwn9f2DK3vdK8xrNyLjehHN6Uq05cb/xxhMLwQbOArMUxsVYS5dWzfjDHTgMKj7g0cujBUJF2A20KW8m6DJOYYpF393jid7lDEhxwX1TSYkHZ1/MdYRtzXYSb+KOYXHAnzQyw54N7q4SgTV64FhR2oqHQa8n0ZXLvOJ2Zlsm98N92ngHFvvlhx6ZhYgFDMBo9HZjGIYJ6QtWsgXqLKWlpbVwGjLgxbbcVt/Ii/ffliWzxlf7iyPx0YRvKnzKFd5LRe1C3tnYROrcz2rmpCO2n2btfRr+m0qHYtArhZaya526C/TCyIMWYBbRvamnWSpyOtgjnGS8MMM8rcrKkfbtxA0dwT7V6YIZq6r5+qQyNHc9khOpZWP6SBc8AwZ+AsG+nH8haX7THXn42Kt2xUCJS7YMSpl0LEoJNYZjw4S4sWN2kP+589ktgjwlXrZbI9cx31r7PX5JURU18uW2sbent23blqPKGcSYiZKWZQf7nE40YX/SvsWdCfjkU8fGELyie9Q9YRkVAH0UTcaAbMyBKcXxZ5n5xb6sv8J6/cUnwuBgedP4rbLhibNgjalO0//RuJeW5bkYPBi9aHKV5jlZtxo0h/L1wAqNWIQeNM/KK2XRcU9cESXLRRFKzQU5JxZVUMR8KvwsoqJOkhK6k9433UYLF+jHJpv/wEqYS46cli98Nul/Z3oxkENl0oNbQOTRDuYsDVDPrbJKF7EOQaNa+ChMk8F/L151LIfhUGNvYl1nBc8Sdqp3vW67dlXMrXRQMovpailEw/UrHAGbN5T7f3mbquC7fjf6MaJvo3ghwOpNw5mwdzQ6rkvDGvPDH3/NXHfzeagkwXt6nnpefPgGVPs+JKfwMHrUX2nhVoAWVezpfZGw2zVYi3L2bwyCOED1RuRNVw5oe2XYsx1Az5Xkz8O5d5YJn4THLPRSz2waPLGoGzfbHl7h417S0krUNR1uzJr772XrWVJ/OCIwSf8YBmZY3DU1kVD/hsoD9g1JkxsyGA2+9ffVjr7PZErxNx2DzJvfx7A3GCW6+lnF5/8jjOEodZhchxP96OkvioYtvUGK5WiDMHb98PwPLzVwCYPkBXedN4TwNr3goIUN3OeRaH7b09d2ODtfVi/tYKESORkfqce73iaO8/XW1jQ5qOJlazlft9hgpccFj2xeZxm9NPkaNy/tffj+PktREHpxxGLTrPpl8A/clKEKX/X3s+98A/X5HXuYlMJGx8da7kppgrhgtc2/ovUUkFmJDpNfV5BXv4/KxO6RFlV8S8X6E8uvdvEDpDRVKkp5+Dg65+JJkM0AGVDTI3HrzG/F7XdeE+A/cLIWaBOuIYqgNClBsBzzLnq3ll/PMA5+9yUZxdTx/hlPFlTTDyJ03x21hHq2Vt7I193UVsgKJV78zMhv1Z7NdOdcAuflLBvdHRGdNVp64gLYW6oEI/w7imJDMKAeLgDbBV+1eMRiOp+eRXWrBPUSv5HdaRCo5HfNiP6iyxFX+bIImqRvjz7QbVvNXYGHS+mmMNUQ79prNdOb9iVTzy+bPNzs6JolHzj0f8Rwz9Avjbo/VqNZh7lHSGwtkh5PsUJm36gPhuN+GvHjWOjDbaOWorBQlG0pAOwV/kFHHU9fNl4+hY9dGXYkHMGHOJoRXgw5uSnmRmSueC0OQOWZMfIVOaL0AlQN2cLrgnADgG0jDkIbRccQd0YfO1EXMIG7rjBJ9y+naDvTf72o5k2xlE1H7jM/9E4+hhYSkbvrIIn1oFurMyedclHrCe8jELi0ATuI94Sdkq64zznsScnFrbuJ8gUpkZzhZUGMN2fvRBK/+0++MJptMviueMc3F4jkbPgl9kph7JXfyZ2IOnOtHidscCaRIb42diR1MzT5CPiNacLhJq14Foa24VBCXmYiWEPrzXAT/HhWt7gEx2GW+RdWqNCqi8K7yVOzU832Ff8i5rRSqO7+bxtGI5B8qcCUhRfS8pS3U+a5itK8HC1mkfTerxI6M+Cfy8agshyr1+zIawxGNN3sk0TqW8Ti3DeO3m1fbehbog7hQCcmmCIJxMXF7EwYKr5nF9MlBhJnjgdt3NfNrC6U1wZTmu8HmWu81+lmjo5kUZAQUGvq7X4k1WGMQjOWmyCSN7EeRHcMg/QjxjOrRH1MN/+5+UxQZCrXyafxMaM6uh/BYJt+FqNFIhira/QVFuuYJyOisqd5hhszfJHbpyja6qEtKbCNhrj+B0JpDS4jRcLCBX7r6Y7kv6YglM87gFsnWcR6soOhYj8gHN2isTkeJfe6XbUz0UDfft2+qN1kYJy0YFr31UpdiCL3v1gdiglvzfg06Eoau+nSmMXyJ2XMd2P9CWhdSW+gp8VEHiwALNbsC3Xa+mEBmcskiYfzq+Td2XBFv+U9R6xGo3Mk3Y1vXdqVNK7dd4StyDb+AES6C3Cl+sF+f9e14Jcwh5b92zY5VVFRFlSBgSeq1D87cq+FAC2uozBBwbB5A71JiHSbppWyZzfw2AdtcWonZM4KrPPsuoKQRAW7KMrs/16l8EoF4/BhhYcAav1SlTUwdh1H+06KUm0nhJyE/K5TzN2Js5Enqb3Dz38FVz7ibdySnGwcOf0620YiQOc/6CvyA8HOm0umK0d+gBkwHnLgpIe3vq9jS7e4keaZewnSy83q3X+A8J4AkPPirGpf76kjEayKbHorGxIz4cpsdxmdLRvT1ym5+7KAKjDM0z4w7N7Mxtd/z7+iyaKqGS7zgu+xQPl3HdX4MJIQrMA31TJ8Cnn3b3it+b7NEGd1RQIuZb1GVR1qz3cA2hQlya8GYrrXFqFrYOxgYTfxqmcV6q3ZA7RhC24TMRSrEjyqljKn6zEon0/dVF65kuSQxQD2e2xsn5XiEwmcHSccg+etbK2a1iMhLvzOUjuasQWjXZU9q3HI8D3o7KMsjZNHz8pHOXGBuYhbXBkXMa+sLpSiLsSOvdwwJQ0smWR8KJ0NrX3kyDQ12JrHQKPGTFnPXuKSSdx6hmMpluLu/FxCitfFOBlm5DLXR0myjvN3WY0OfdJyEPQMFoc2suBFQhZQYeHfqE1yt662zHZ6+rKILG3/XYqdSLM+34LFmPWaQ8C5giP69dgsepWPtW7vnL9/ykLVlnN9eySezX7HaYGnZ697WZNV+Ky9dbz3bMif3u1XulnbGMet3UsjaT77eRLP8NdS2s/ipFvdd89L3+sySqazPhSeJos9qo8UEe9z6KcQuoYZovAdPosyXP7t+/mi5IyYeMcZWDyd4oAnM90VB/flti0DIqLveQKGVFXEVras62YXb1V7mja6bHBFpvgYPzX7U1t1qLJVbKm9tH7gbDzqN68NC1DB/oyvV3sbz9iz7q+TbYJ+k8Mj4vRzdjy+Tv2W5/khU9d6sIGrD8aUEp1NsqhPsQmXGUcESdY+LfrWwtiKfIi2oKNQ0PdPfI1wboonMZdayzMmhyuxAN/jhI/mF5wZmj0GuCK7utG6VuNVwoDo1XO2nIhU/3VGTVTbH57OEQCsyKAS1QffdwJioLVmPZIYi2ROdicuiHMO39VT6bfCDkbf+v5/bKkR/vcnEQpkKX4jP2F9Wme27EPPhyDFwCo2kTxuo1rvNsvukfZWydB48ybhdhOssXIZZXbqt3EIT5PDGPeo1l0+yPObIb5Fc9kTVGcYzLp+hHeKNQte2zxtoULk0hKdmQ1B6EoxiAgayxQbwsO+fvagPfkPl3tGdlO7U63GOl1UjURo/dAAckAu/CaVj+j6d+Eb6XXaIE2u9Flu+D1dmQbR4Ttqb/ezvfTQZXuGxK5QOX8NEoCkwnF5fq/iXFKBrQGGQbNp+vKlfCojMHA8+z9HuuDDUpdaUxe54y94nxt9/xi6rPQFDcGuRUgLij0Ic/8jst5doK+YQ29hxt/zWGFr2PqYeZ+yTK33DR5LVLwpqd+swFvzMOtTf412cbjGmAo8jTrBIio6D/Z5JOFRiWM2+GevPPV42mLaodhapc7icL4CnNo1MZYvbOJPiYcszVaSFFx0KbFv0zmPs4F+TWhff9SKIfrGjRuSLmtaTstkUSMMI/iFKPnJhP9+fhRcB0JhQ4I2pIVUYuS/Gp9JEJFA6dxQ3CbgsHr4P5ArlnVLfDMLrw5X/epUUxO+nsyrIY+NIGhRQYWUg9hVWWcI/qCRo8tJ58ZIm2lCJCjkf3Y+HdyPUm4g+lXXSCQp5+cr08Dv8nK6dKiwZiXzDBMlLVXHQsWW/EHNvC4o4zHYx+V363nHNts6xIaXgD63Z9VY6nJgzurWZPadXLlDuJsKsrVFdeB7PkIN1r0eJVjqBsSG9szYaJwuf7zLVhaiul6BnL3LrOmD2Op4JUcbV+HPxq8QLICzaui6R+inkktNnuandPzcQcCxSyOWy6VSAUsOvg3vLbrn8WsjqwE09Vlo6pZ57M8RXXMHK1diQjWxfjh2GnP/KBvF+SoiUy+9IHqjFU9gidkSRiYnl4S6uQPkuMZCrgBy/YsXc0uTY+6b3cC4piMq48+uAePXbfguOAlNLdb/z5VfwUXIWuEpBxGOqY5irNzT91KrsJaQ6BB9GE0+bFoVewhX87PRtSB6rx4Auumv5KJ39wXVlnuqwxT+s+k75N9PnZLu3C5hZ7Z/I/XPm0vWd9cylMZDDKfXtD6Eg36LZpe/GVUZ5JHeY7/D954QYT7ICoFhfV3nqGMmYtyhhib4AlR4Wa+/ROclpFqQt6MyM0Ebb7RZ/JHmBjyvIuBJ/3soD/SwyWAtrVKTd6lPcVYM/gv4tDwtG/+h50wGdxxLT/YssyxvipKypRRKXZk7hayojGOaaqyw4R5eIl5SFRgIo/MbULUkfJce/bUx3j3wkIyLEXu5/mexJPpO9Hqo8HglebMQuAKnWldRHYoJfZqzIaXaJGUC/vR8EgumkuA81PZd3GnB84G1Rm2y5oRzquk4uhPjwdBxPvv80aVq3ApyAaaETe9mhCLzvP55IvaQg8rCT4fai2ny5mmPEVaaTZuHeKvP+kmdTNwKT+vrHC/uBoerWMWODZ3o18s9hrzHu59DvXn5WXWlTYi4Q2nbDw8vNHWnFSFR9hwrfePG+P9WXQyYPPzbimSdj8gGPTwwXYxVlT7ZzCJyUsBs/zzt5ytqPLGP7JX4S7XWEMDpVjCe8ZcR3w1jYn5ak6Kadv12rFpBWiaxuvzVScZPAt7X59o1/9iuL7Er2LvQCy29avGFV2Rkufx8k3e5u5h9XU2WJ83INglu1zj+bxpIzAAntPiLIJzBToq85acKnkJJioKauflHHOHw9/AAuJ61TFF5ceiflJQ4lpaV7w2qUKtJd53gUnthM6OZfO4xKvKkZ3dAy5g9T8CHpHTKCZrRnT1Rrvsjn5yXzrXOLC2Gfgc5BebNxArafV1LPONmqQvdck1YOPzLoo9QL9BLhpN195jqapVGR1ybhTcCuPZa7XDfxGjuElsrX+oUuHp2dvNDCua4I7+MgKEzm6Vq9Tp0LjzNEXsRtfiLv8VGrmQ/zYsL71Hrqlf4wO40zyhcmZOZTkQFvTBi7YX3LOl2VZILJyOyroS/g7os43asyh53poRP9YOrCCCYLUdA8+Ls7J0rh2zOXj0yxdYSpwN0IApYuyub0wdG3zwKTJI8TA8LTyZyJSQ/YjODQ5e/eGTowIYlXRwfzyBghxzo5AIsotRSQTtsWUz4YmDpV2wzYKHUMY8vdjVll0nTYcyQXe+0v/yTC5lUv3+N+p+lIlK739QKrQW8pczjB7pgeHgntW9Mho9clVIr1YApycocnA7BbplOqsFKSPPf3PBVeI+H3qTf5h19UW1ltp9z6MsPsjj709HgCaq9FNmRWRWHF9QLYPuRVH8uwn2L6Ybw1IvGkiEd11oC/8JxrIYOmNlmscmBpgJeeD0Ro02f8FEtrtIzjdjuqdS9ONxE67qmNST7MUTp6XYwct6CWD+W/B1B6tlrUlOvNj+x9YNKVdDSfJ0qQi0PIafJ7lgsOptoSeGlP1fNdD7EYCT6yn7uIJCbQmnyywcR9jMqkk7LXw/HtqyI9HeyIBuSQYCRhz+gWGB/2JoSP36Tg5/eyaDhl6uOj+NhC+y/yT/p77PYZsRNdy8yPSY0CHPudIF+KO1WqCD8nAr0jkwwNr/sdfySvFlM0BGlNedpwQmHBJ+ROiZQ0CS8J4CMroXX1oH4x8vS1TP/WNX1D7/UFQEavro13BOPf1+YvzFqvmuzXBU2MAGclmUtbTUaGvhQntdacNBRsSg5/dYWdMBIAfaJ86qyB+ybTpEKFQK8boGEoqBsRG2vYTBiwnItuX4BB3GZ/FRbqn5MvsBbwrZjGb11yISg2qTo414nvB9wVxaG0BTB91eV3hjo1Qblb77mgCU2OQuZFtgnlSJyT99klsXGexbJQ82Cjgkgv0nmyf8oBnHcrWeICwCi7HtNxYLJeKRBD8dcgdwzZWcB9F8Ew7BL/2SAuvYLNAubP29Vaf61Z6xy91G+CObVObDTNNIusyewMYhohpPQd45TT7LHTKEC45w56X+UwmxRRGV21aQaSDwWBO2lM+hKI5F77ppZwRsl8HzQbCApeVnfbf9HnRhNfbjzkXi4OkG2uW4hOhiZB1BBuWFWLld04SHYVmAKxkcDeu6kLrgJwo59xp61na4BOxr4HmBh/scJTFnLTlWcyYfs2LKoomeB9tfHdswps5ql3vbSSgXDfrIKpQAOC62T6gAPaqahRGjuznxYYP3T36r1pX4xqYSPlUHTAHgiPEn6/Mzv3zhd62dgLTEEaCdOG0Pypgr9tGDSNHljK/ZmKRXCwq9ztxaBQ8Xm/+XviT5bDb+KlRxh9K+uCZ9LZc4l14V2PSpoKesSLYMm37OlkPgh69diwVSG7DSnBMxi1xMEsBWyVbtgpm/qRrSveJ9S4i9LUOt9uoYdtdl1LAttxztcR0FMwtwOocAXUtH7UuyffVyx/fKcd+JWHzcJLVqj+2fts+J92lMvlMi34Q0rDklKzC3MOKzYWXBb4FQHxvwgzqPzYlGm6514jRRDzxdCGQ72pZUz/1hNoonZCsGCSErmLrgkYVKdzyF5s8eYqjkpnAlBOpxH37bb1EVFZlNc6XKi4oDEGUZW83PcL4fUTkKyYcKRaec5G+9GH0qC/cSkKmavFb4Iq7/wwdX9YL7NY66KIJ/Gci4k+zwN4EZu8RdlhwVc81R2/bleVJozb8Vuerj/Dp95JaLH31e+gG2ysEuDFtg1/3CqC/NicNiyNhqWDhxSHJNoZItRzjfgo5jXnAY9lloCwtdpuWRo/0vVXO1BBpyANbxHl4lcGi/OI+TFt5PG2l070EbD74wISDZJwvw6CHbMLvcqm1x18MIbCMDqI1wIv8jTu+zOK71xw3Tl7BGBwY340alsdKJvV0DVwDwmdUJFe9t9TQu06x2EzCnLK2chtCe2dbNX/jsPqciQwBgzjYnRgWeHxNTKnIiS0raO+N1QPYQslcX8tI9x33kQxdHZz5EqBysFtx3kDPdOfjJrtqq15mqoW9UYAB298RLSk9nU1lwZmOPulwEHKtgvPSI7G9DUMs11SHF+ny3t0LSFomve3Y4RK43OFr76hpkWmyCzqzVz5ScCaRPdE+IgdIywh9lK0FXo4uQpgWYZ+8WaGduu7zAnb56Zy6UP4bE+F3IcZimHl76p9+BMTU5GIcLjyoDvhTLsy90TTj7RhOIPfQJWvwLm0ys0kitgXvlNroqaLq4DUvRa1NlLQt2Us2mq+P/oLSYfg8zc/OeBUDrUu03Z8BLliRZI/7h3rjZlEXx5QpTnBHhuQyMLbHTODsjLlnitBpQgeaqPBjX5fnJsoL7DG6c7zrldosLatnpZjOv3aEvT2gPiHUVPadCjsHsM0c5zYZe7wV5yfX0qvSuf40l8ei0et5WgUh9FtLaqBO+Z/FkdRd0+q7IuH0nDjhFy1+rn17q+9RCM0g9u8qBtmj8GXIJmAQu+QIILSNJTXRoRSODffFbL3Ehz2jnqRzxt+73nUf37r4c8niMS/8OFO8rendKZPOzW37qkC5wAZ8K2hYYYduBx+iS6tAIv+UO9t+KyU1xX4Z8Yzj8XzmEX4EHHYdP6rFwMuZ1GGmorZpZ9bYmeKeN72JB0mkll7MAyF3OuZ687yqSa9C33DdZXJUEQi/SKgpg6mtjb9yKw9GAu6SL3bHjCQOvEc+kN6FCfZLzufjeViQLyptB4h7HHCuQ2H0GXzugjKniCUp+ndxmWjR4UlX2A3yH2GYXTp05bvckQTq3BA9hvJsdZxF5bRUic95NArx+ty7IO5z/RKKBVpBljOWS7WFrecKoGFnHso71bOTLmtNXfZ0/U1ArS23Uy122uyAX6c3lkzyYfzGDqo9fGFvV72LKaKpyIFqRfRduJJLM5EH1RSt5/dR1Rn6U1ZmxY4joVl+kQHuCQr7KdymHRH83MC3Iqm54q6EnH0YzsBfdPIJLDowJeOiFuUmw3NZ/u0LB/IOaljpJdRSiO+kizoxp8B4DoDs2acpfv56UobfJbHF1swXDa5RNi806emtmVDIpM4+8+uYQ22X/HIbUuN3bCeUaFaR8v1O15ooJuq8744bDj2HOJcS/DZVD8wmAjnrAygDPi9bT8LNO+E4vx55cdOD1sVWK2D2MnfxjwaCgvrv7korM7t/NpVPngvorlXP9M1qVFFaL+Vn5mb4jho7ndlTGDkUmU7aUvIb3UUZiP1morrfhTksPy6DFSHDiQvSsS2PTb7jHhT9cjTzdUPDMxkVqFVa+eI7dk/P6PXSTC252ZG+Zm7z9pW0vTbWixJgwtglcEnJXuf/dFwI/bxoM4ofg6NqBsGzNX3TEe3Aa7R8XFyfTyUJBeHUM0S5d40/Ra2MnFQNTHaZeBOuv9gO9XisnhzCVeOy8AtksT/1cV0+n6yWxkDkF+FwqlT9d1gv5ZHoYteoP3Ny9Tq7dDAesa5b0FSlAV3igdlk8ZDIeBwubTf1d/bzGtyc0YZe8EouDCg9wSwSLbB+xzzFiDE68tpEsSMQn+/WGAL43L+W7qaiy3JwPGsVatmO5sepSE7cre+8rTrgzz5E2SuM8V5d0Uz8krtwt0dUV/atvKM8B/HNwGKluwS+ponGlpmrmsju52Zpj/M1VB6Twje1DF5RS5m3+8bWbvZ0l1+K5RTeM6z+HaB0LJ2FPjjSHq4OVFm4cKJKXP6RIUj8fPnmTZr6dVMSVfOcan1Q+V6ip9Ti05jv7Zed6nE6x0PWiMcZFzJ22AEcIgIwL5kprNV6xK18D15MY6j8LxqqskCh5FPVGPTp0PycGHAo06UPT7rkzNLOYO0wnu7lSBYU/9+1svwrtR4p+u+qK+lUNcA95dmB5vPtr1BskyWTRam7ec/9L6zS5q8s44abs60pt+5nMMDPQ+zyJt1r68MC1zT2RyEdRuPDNoGbDglAdX4cEf6BJISp21vgY0Un+LHIh3EiMgq4jgNA9+IzasIazNxTSDj3O5NqHwdFTsPmw2V9VfstuC319xDj9zVgYlokgMnCN0Kr5BU4xmrAXuD7EZD3Fd6rIigl6d9K3hZJ7GTCuvntzkuUnuzuiSb2mln5poW7bANsD4taPo1dfrA/7Re7ZfBy8QV0P2xCtZ/PWKvwdrqiGZdzyFcP4jFEiMU/eJk6jWjx3VVCewkS/QPOVzKQ26TQidxQdW7pnPZyxP/Xdnxr6UVPOfCnMDKTBsbGh9Z3Jnud/LOl2y0BYpGeMdQH2odQ0iexX9Z3uADmXwBEeGwIrNqJTpRXll0Trw/zaUpHFcT7vQBLSjBJxMFIAZ8phCg1Yd+JV45zGEa3S9FrzJZaN0Rt8hgHjXsie6O/r1uCIZyvFANijhzHwqa+XQcKsIrOiw0I+Watgj1lNcy1QmVhDNn8tk4IekNy3hKUDl5uTsbBtJecpPL6Cde/S3TkNXMU9B+ek0WllAFTybS+3nTCbgQpwFKC2WP+aVL54JlxZa8bZwYGg7xIG5lBTcA3OCZclLKSJBI9jFXRV2vxw0YyyzQ504hzlP5pWfm++eS0PF+fe7W0MQRScHUudf5ARrvbBL4Xzp6aenJiFvLYTyDwtmuhkr9/vwHc5RzW0NBsDsLmjG3o6PUYDNjJp5K00STVpIffCaY4BSPP9lMWqI6Gt0KrLxvdGDz8Y23mZVgsZN9pl75noXtEVSOhnwWgrLYeEXrATFJlGZ+tP459SboThqd2VFnyN5HMMqJosD2S9gnVBxFtv04kvcvyHH34m2x99cndD7vZMfo3+KctvoT7b8G7y5cIyT6UXUtK+jNMSiJb9a045BQ+pKX4mVKUN6PAcOYgyUWCyPbdfKklFCQm5LK2yLQj+yswco/29GR07upQL11VBTR1RipWLjJDkFzFODbgttDJMtkpx25dfYU8EdKsTc2Xx17tF0tjFXdb9X1pDvcUV6xVP3q/7WJMjzEe5GDbnfo5NfmfY/elHlzKeYUR8uf8Xy7BHHbmvQ3123gFh8iKyPiFdICWsbwjCLjcOAvhp3+/mcnNqiqcB24ukZhJ1FiqkwxYHMou+qZxSu5TOKVVIxAPRYlWlZDH85+rpDfEdiNQwkGJ1ZphAT00MPMDWFXky8+5+vMLfUVhu+1i7pVa73uVMX2s+u4s46Pj3DHQw72rQtF8jS7RAFH3MikQeufn7O3j53KuTgKry2Rl9w8W8Uac92qy0ZCvjreFaWv2gN0czy7M8QOhQ6JtwZ0jrV9yGHuoTh0jhFz+IKsUH9FU2843q9UZTCS1BVnThyNoMvLU/gu0U84XtXOB2rsHPeq5nfUOD7sGw4AOuloIygjPT6tQY2X9cXhybctgl2Y6uL3eZ5kY2/PY+M6g57/HMntWCMmWhtxaAATfeHAQTosrHJxERRbspMPau29ckzmb7MumoKhDHt30C0qDyYR6FN7JmcqJPLz5HNXWjZed0VQavExHr0w774KsWz4YMYBrhbVs7JKMwn/kI/Vbb9+rI+XWvU0dt7zIB3JMbYzGY+jPhs1DVa1ShsUzaTUX/sEpfFSOyJeZyFmjLBlb26nUyYxKlnfEZiAhOfHQGwW/n3GTVltkkE5i5HH/UVbYvjWgFzhEKln+miFMphkl/8oGx1d1B3m2iR9MSFUqC/Hi/okNN6oYfC3auLxuziUFdHn4weIlwG4uIATVF3b5wXT6ev3JrTw9Bf4QWS1ohU6dKNMtoPdAQblX/tTict6WIw+s9kDbSWwrTwIPH+gaYpc7Cvp/5ZE4o5hWkpaT778SXjlWaey5o7dLdRS2pKuLDeDnhDhgLfgjzDqz0ch3IAUi+RZ4+KXonsq50oG2BiYQFCdhIlsUyBaSSh38/Zy6XSC4cIdbu1Cb+FGjWGQFQGguAVrGM0mypRmTp0STdDWuxbpl+AdEwrYOksnXXqbf1AVNTBDRQBIbZhM/safSiFRO0h1ggdvsCy2YjFAZzAi4Rqeeo2cz1LORtlTtpNyByKO9rQY+p1LkEd8S15co8+cdh2ty/QYULGNzRwWxw8oXVR8B2pL83iuE7I+8kbaXWtL5q0e+WrPe/yAtq1uq6+xJ0sBqXpwrF7VvZFYdFNTLLnypvM9cjFIcTPoqAtOrFGF20Ilks5DqvRmbVYsEgZtdtuSvWhWe8VTk/vv3UO+qyppLNBc8ZVUg1ddyCqdYpqB9KJNsNiOB1sKAYjHQ+MBqr22ehfDlnPSKgkx8QGcFzPWown1AZremvyc3eioXdir9m3HXDET5Z/WXuj2vkc/4U80O1uiPsj5xkSn4lQ6Vc+HumHGT5XEMLoHHD//dSgGo8tyPZZElNX3XYp03p36Fdxh0EaNYemSvDtX30/o6tjZMYWbHdlFU4IQuJvnQeG9cQJuPuvzMq/1Cz+UuU05u5bb3fzC2Pshy40YSS/g3rLX0w/1/IhP8/r6jj8mSiP3pOWATM6CsJDfOZkMlUXa1z55glBUSDfd36E2+iC5X8KGi0601ehVcNpoDFQazPPvV/7b7d3oBF+qS2RVc4IXQhq+OwKzZWc5QDLWfT3P3eR3rRtzoN8ThyLlhHvDwF2qogt7uawcrFvmEfGXiqX8+CL89Ysj7TfdIkHtQhCy5Ad0fZ/UiTkbnTVb4nsysIIy9htYdNmkiku9CuPKsfrxduzI+YPOUY09hbmzTZxXi47Q6/sFWp++7ALn06T0kl+tbJJ8dbYU4ut/VVlHNnUaTUk/jYpFh4zyW+otbgWYhhlstsVitoDlihsOcBTO80GQ7FrX9isOGcnbDZ8kF8oKMhfeqTeh863AyVfAHeC4DwSOr9w9D2ZChfsE6FeqN6AwY3wlFNv9W8q27T6Cv7HvwrddlT61Z4NDSn+igp5+rkmst/umGoRWYWHOvdN85BvnlpAw3MC3ji88XNRTsQ2FXrGBBzJhK7FvzE1gtfR+zTe+jJglTxWhglWaHujDZFsPBUu85iw6cmMvy+4m1qWUfYRp0+cTY5KRgYFBGDDrbSm615VFLbU3RaCpWxjJuEjUgn1AqNXAjUZlPK8SVMrErdCnDzusXHAzMArvxB+Gm3MAfpWGb/VCeobsTeDUHf9YU7gOkhDGOX5QmtVRe2h19/rEu1/LGaI/I1XzuBP88MtU5Qps5lqFhfLlk+MHGnr/XwCvEVDuTDE2BWFsSwEbNAodwHse91SOLeBklAj/dxNoyvRbDV3DKP0fI9psQ3lXohPHKGrqUlXzaLoIQsvE7fr9aTMJGhlR26J/gNdUjSNikJU5+LndBn5zxjN4VzynjFXBYfSR7uhO4E8+N2zy1Tc1JDAzIfsiqgmg4DQaObW+r7Qz+etYTA9QvrBmKGeWMsHoxCXcmWxYDDtWaVhSOZdRvnh27jPzqEOHlTnY6SDxssJC0+V/LzJwMrtlJCklZ5gRB8vFysrsc8/ZNIsqyWut+gpRB7+Ckt2EGrnPDGp7KMRAsjP+VpxfFjVuRip+gYAn90HsVMtCbV4FUv5R2ZpzyHsSt58etOxH/X4IiqW8xj1thigAqwXN3RlmxzrAsSsSbe/x7q9L2XZl2S1L8Pd2k0AkMRFuDYwR2fit6y0qKrmVWN2zR6r30QOnm9zbvPj6uBpHZNg1d/+1C8UkEO8u5NcJHI8ZOw51529pw7pK3BABKYLNJ2dM/9c8vAxxw/In09y9LW9zjvr0kLAKUDTA79W1lbkSzUpsOdXJQDsKffsTEiBVSHnCCFh3CfJeuYMdA55YhUVyxKJ795F13srdP1gVjzMgWxy81lLrv3YpnXiBVnO0T8771T8eia8uRd8ONAbLO7xu+qDu3U7Q/oxOsDo8BmyAuJnRn/JSN/w+cqiFcaXwph1PM+Fsg3Puqsd09VhJFVi86CCO64y2b2EwHnJl+ys0rbhIYcJ+ARthIno+Ro/2Mp9VjCOywp7XvT56Yej9PK1Tf15vgedip6DEh1tAaaSw09ilk+3rXxeWLTIu5mSennXpTEDPq+YXRikWh6NRoclGoH8eW0ULKMDnl+rqimt05ZV0K+58VDd3gLD9LGPzbEFOYpvkRy2RsFhy2+rS1kXJ0M7HYwbAC1jtVPVGpM4aZaNQD05pibW3qsWGxU3Uvby8ZbiKIupCsaTJfWUHrYQa0JfbLdcNIqiNyxNzDtzJd2hBFugjAwf1dlQoITXDJ+6PdSznaBwH8oAPNL0rox9BYOLh2B2OKOp4/BCQuih0RCnN2cD4bw9ectaDXIhV2Q2qgq6hRta97brviK8Y1LDzon26N3Y3aD2//cF2qHipQFubDFZrbUwc87W0+FGun+vyhF3hFJeeBAOovG6e4nLflTCjX1RXqy7NVm6y32VQxxV3GSOyFXa1B6FqsYa8INSmYWvP456wOlhiLWSqwq7xAUm77hxqna3u0k+TtRByIyGfotzkUjStJvhjOw4jVjISspnClkCZEnD+z+deEP5HT1p1bGNGL/ze/GaChzbr5XHbjzilGHnE2HLjp3JnhqH1McLhjQrJOZ95M4yv4Q3wrT/Q/9UL3ECbtG7zaFImgrxWScewO1iXdwyUpLHImyI9ugMzOvABMPhPWSfnQECwoGojdSwvMNmtYnOIgsHzzfMnCLJwjVxOnIpdZgFfMouhlc84D5VyJEXEWBd3vlJgyu+4u/yl+96k0nWj/lgy1i7uf8A/fEknQIylAyi7Ge12G+kjTqcXzK2aCrcSO9tNanVNNOr4+4jRwoWkamKygWyU4DaoJiVirB8hyiYyvgF53rrKxVpcwEvV97SBri0rul6SwVDoYG0ppKquB9rZzkJpcOz1ryYEA/3FtsYaPjpj65L4QsodiSD3spOp5KZ+psXsm9DFiWGjM2kazV5R1MVFtGbrJbS5HhAjg5mkyKPVoJ3tX31Ylf4fkENB3exdB3ld/OD18PFzOdsFrQ6SUib2slOVs+48F7aZLaWaQtnMkFtuLQ2LAEU5mShB1hDz3lptsalvZzzgxOOVZo9R+Y16n1N03TEjgszyLiXVpNvCcJESk4rPm7IDnY8TAG/XpClaGWwQybPfpxPp0ZPygNDuPDG6l1R+3nQk0w41GpgP15JtWdDkrnhBkdpqt/BRwLdrsyPpDe+z+u7091a5P81EGEVvfRamSNWdO4i5LevhBSEj9bi/IkoTtyr+vmUutEcZloXJGMQBUukYUA8OajOgvHvu1IX7WM/HmoDEtKQlqLDB4dd4RAjph78blhcnC/khpoulQk5o0Zon79mtEPYpYc32ixCA45n26UYw/2h2cFG584CaRTBraAe+O4mXok6WwjKO5eir35dJoJVnGkak2MTCa0z38X5K8IhRqOwzeLiWhGi7DDw3nedQ/qiS6blyyEvwIpKWiPRgabL2TrYZNRHnEu7+XEE0LA8yWr34P/YuMMvtsSszhh12HCsa537moaq2cmf5YNeDhA7bKSPvhBgwFN+/4xIbMIfqQOltTR09dRCmA8EftcL7bECQwSX1XApLLMDUAG747+/ipvPaf17UMyrdjVBgg5xyRLFn6GW4E1u3HTwj3G4hJNeIJ5ldNM5xqjwVYfcl0zk7dRHDcJWPvZDMKagnV2DVi3DzceDAgBgCa+WYBTfFjbhEIAtW0Nj7D/GjU9yNtvHVXqre/HG1H1ZXSKLHIBHjF5skaTSQJ/W5dMlc5mGsWCx/C/TChc6eMlNoE6uU2Ma6jtqe+Das7jxPTAThTIyMmVEW9vwDtnh2h71qwt+lSbsRliI9EgZBn0uTr1UChdqRGJubRUvL8K2uWF/lh7Y+qir1724quxR6pqxPlMJxkhNXeVXfHUy58NcQ2HaRNUs9fW1RRIxpZic2/Fy2vQV6snoz3IHb+2Igfp2YnKryBCF+li79CvkRL6STTB07wj1Y1+cqETublOUkIvKnfliHZxNLkfrdUJ1YKPuFFjsuLY+rZJ+c2kDPbVM9BXN7AbhNHPFFko0zSmTE1bBlI2peyfINySSnH6YcEwNwN01Z+CHX2wiRQeqQExoHRpJSCHQxKNR8Jy3os+9PMt4qr1C3Oeib2lmQHYuZFSjMHn6rRdoHmMDImDOXv4c8MIv/hz8V/gWvFtUaE1rOjJXZrGblzgH6gWE9Wt2HaFdFqhlzafY2E4Wa9HU7W2fDDg9k2ES/5UnzIef8Tw5i8fjNX0llmTV23STU62LswzAAvrAWkRCGjYXdNym52ghMWp+iWpfPexwzFFKZuPSPhbtruBvjS2rR/dwQURPrexFMMA+BmibZMZlmBJaiJH15EAL6kot7RreincryLrh3qvmT3FXlT7r4ynhJwMv74rdJwXaEkbrRV1BVRFN/Y1dxiKirDkkchxJTzD09CMSkFkjz6A00S1+u+E4PCqpKV9ClefMzTfSmvDBaE7TJYDFT8DJsNjNuPFVo4qSbVSg2SniElJkSWS+rVw7IOjV+iIRotwdhXof6YBALJM9NzJ/bnxhoCoFStz8eTN1JErNBSd5NspSbPuNxs6pOSBmFj3ngmxfJql07cXZ9pQU4WyFPVVxwRlo/2zdGTWLyCyMRrMXNiAwobyEuDj5huJvwCr1IDsLcDEKNFT8qjiZ9XR1in/UQtL4dEnBuLz0eX49HHpNNPkN6BKWockiEkvuPR9d4xP5QqJucbQUqLbHJ+f9qnTuGh9FCMhRsloTDWMlh849m+F53bmE98R0UOoRTRazAmpfmUtwBGMsmvKpJC16vAx9mfp4obl8goqR2f/W8e+XPfewA/XgjA4GwoRUR1tTgli/NYlekKGTQmeMGOPGZTZMTE/LQsEdW13AF8ZSsiByjrOy0lalJWoZo8N9frRPTZUF5CmuD9Q8UiNwzUHhmYfT1oKI/Tp53rEjgIKS+7NN2fzSukl4J/StCzuIcAGybYM4pBqchTEhVUqXzBIESCUDW8M69YgqpP/x3IhwIebjcBUz74rq/dqBbUQgksi87nIDQA+B4KoQFPLFVO3/n3h/J8fZd1SDV01+VZZOpXCx/nTVYUcQvRdgsBGvX/HorHpPZpZsXx7qJcvvBmBFI/oHcUjls/2vbZfmxvScy6HUSS7XQ6O+0SoIFvjdMpEvejF1g55M5JmASThQOMwzqqBnij5i31s+Z09x6S4weU3/sL37cNr4oxQG88sLZuCvpQU6kNmB+J5VBRENU7KWoMl/yWkIM6TIdAjabn8usguAOwdxGDZ3Mn81ifJOTXxF/24s6ZtRGJP+C0Wbdqn4uK8BFj1VtMDxIxs3sLqxaF/qUQbXU6aoIT4vVfrLZ077pIAwbf8d7av4mN1gGFOEJuDqb5cK7E0s8PhIoEjFanO7tb6xZA4G7A/mirXLsloqtZbZM7LZuEDxZA/ZRdihdTs4i/sFYs8MkzTPMr1Bgsa4LaPC1wsKvu53djXRepTplxKT29gZmYaqvUiDW7q/oP5qq+DGG4acFtNY/5WkMwVAHTVr+m9RQDsDzhn8/9DgqNB8DQflk7r5gXxqrBC+LwGG9GUsNSdyDXTPKkHe7A0eRt9fS1lgO2EI1n8UAJnb8MDwr6yAf+KN4Pz1uiDSpVcEj5j7K9YZ96Uc9iXHFHRWOYaYPDOa8ldb6S37h3HN2N9nxqFr7DWM42Gw6If93tJz4HNNiauLX+JnegNgB137heqUWmRfNIb6pRmJB8KD/S92fClXEEahm1G9f2g0mnpeyDJl5LCdtEgRyEveC8IyB/gkuSOVDcoqbXbOOzs7sOQvSPku+3UwQb8IC4eo4HML8bede2Ue3x3DhagvJ4SJSyi4XlnoLVykmZ1gb6X6dovOaXQrXlFdrmSfsI4Wp07al8KE4z2AXjK/B1tuWubGjq6e1UgL389813OFa6tGHrbkgULhuOWmCDvTNuRdGzAMnk+Iu+hQzNdiXyjK4XJSXmiHqXDRksCRe0YiAT0rBaG/VUqtmAHF1RHXv7+73DP7eKffb3vTkbZ+RC8gQm2T7rQTdS11ck8tmanLYFWJuUOHVuZSLdZZ7TxO2hDo5G1qmmdVUKUmWxG5pAp6g1nqDocvCcOcje016GdO8bG9o7OHRAWOpWyOWffM3rw1WjpNHx5dmhfiV8wVKspWA87HgN08pAyajIjLyZeyD3HM3gUHA1eZUtfB+dGJzJ/AukgGi8k36itj9O9BMUx6fZXSTnsF4NGkxSnrZWPX+yIV7TTtWxd+CRR4RBAdJwOq4OWIShu2xobuJf0TEDGIO6rM10+0RCjwoTMtHN8Vq5TfqxqMxjNQMzXMqNBDZno3fy24AsL8jvvB4K8ik49DnXWbhQgb8b/ZPBxP7q1l+KcPOPxYSkHtUgB/1fIDflGDUkIMU8EUBiPdvuNGCFw3tZL7mwGjiIJAZ8CTKKnrrEucuhIVLFZPXOTPI3nzRTooEvD1ZQLC9IOVUadtYULYe4PG5iYUvMp3u7jRki26IeDMj9XiK7PaIIcuK0gjN4l5kFkk7KyhtMMOZWZGZOxaaNTmGQp7/ZuHCyE52yMXxvtGBH+hNGysa68+apmUN0PGEc6j0ouC/CaMZ+uveT3ZW3e7c/czOPzQC8+k/g5bI70XltfRZOO3vC3pQr2gYtoHkK4qcIrVSblChP31o2ytfqwqXDEI39o8q3UcU74d5VXflesaRe4es5X8bwaqjP8+iLApKaq9sVeI5mUfRz+CeG6MOJbA20KZnpiWFkw+Wy0WwwbC4JeZAC403ORm0dK4KkqgOUvydQGoqv5bnJq7D6vbadGuKGWZIC7MB7UVyIgXgBz1Hxed4RHBNpvzuIhZpPqWAWRPu7DWIkMdm/kzSMkXdPZGeESr5sMydwXbxowBIUcD7O4Z/wHGGXrsVOhG+OvrUhD2Xz6la+6dsjtrwBWRVDjIvIVnhcTKExourbwziznU9cs8lE+EalTQZ7cM/rryTBofSpcYqImDPAe2A8phywCaiAZrH/k+B8ljSf+PRPq7U4XuyGFTfd2Qbvm8fA2SRvpuvbNZqeuYcgxSb2xahr+crppNYfP0Q1y6jE80QGoy2OxvEVZ8s0HFJn9C0P72jFsdRM34JT2ocDNh4/JKwjdlPXTZ0jAE7cxCsEU41ije9UyMOs88J5TPPZbNWKARV/PlNHsRkFj8BHJyqbJS1zZEFvnR9YrVudSTcsN1dmoLX67VSEixxA9RTZL6Q+LaINbEjKFU81f2huFTUbEZfzr/r+YDVI6MywXYuA0P/eHuLoOasMTpHovqLUNbcvkkNBj2CvgplbmRzdHJlYW0KZW5kb2JqCjYzIDAgb2JqCjw8IC9CYXNlRm9udCAvQ01TUzEyIC9GaXJzdENoYXIgMCAvRm9udERlc2NyaXB0b3IgNjQgMCBSIC9MYXN0Q2hhciAxMjcKL1N1YnR5cGUgL1R5cGUxIC9UeXBlIC9Gb250IC9XaWR0aHMgNjIgMCBSID4+CmVuZG9iago2NiAwIG9iagpbIDUyOCA4MTUgNzYxIDU5MiA2NTIgNjg2IDcwNyA3NjEgNzA3IDc2MSA3MDcgNTcxIDUyMyA1MjMgNzk1IDc5NSAyMzAgMjU3CjQ4OSA0ODkgNDg5IDQ4OSA0ODkgNzE3IDQzNSA0NjggNzA3IDc2MSA0ODkgODQwIDk0OSA3NjEgMjMwIDMxMSA0ODkgODE1IDQ4OQo4MTUgNzQwIDI3MSAzODAgMzgwIDQ4OSA3NjEgMjcxIDMyNiAyNzEgNDg5IDQ4OSA0ODkgNDg5IDQ4OSA0ODkgNDg5IDQ4OSA0ODkKNDg5IDQ4OSAyNzEgMjcxIDMxMSA3NjEgNDYyIDQ2MiA2NTIgNjQ2IDY0OSA2MjUgNzA0IDU4MyA1NTYgNjUyIDY4NiAyNjYgNDU5CjY3NCA1MjggODQ5IDY4NiA3MjIgNjIyIDcyMiA2MzAgNTQzIDY2NyA2NjYgNjQ2IDkxOCA2NDYgNjQ2IDU5OCAyODIgNDg5IDI4Mgo0ODkgMjcxIDI3MSA0NjggNTAyIDQzNSA1MDIgNDM1IDI5OSA0ODkgNTAyIDIzMCAyNTcgNDc1IDIzMCA3NzQgNTAyIDQ4OSA1MDIKNTAyIDMzMiAzNzUgMzUzIDUwMiA0NDcgNjY1IDQ0NyA0NDcgNDI0IDQ4OSA5NzkgNDg5IDQ4OSA0ODkgXQplbmRvYmoKNjggMCBvYmoKPDwgL0FzY2VudCA3NTggL0NhcEhlaWdodCAxMDAwIC9EZXNjZW50IC0yNTEgL0ZsYWdzIDY4Ci9Gb250QkJveCBbIC05OCAtMjUxIDEwNTIgNzU4IF0gL0ZvbnRGYW1pbHkgKENNU1NJMTIpIC9Gb250RmlsZSA2OSAwIFIKL0ZvbnROYW1lIC9DTVNTSTEyIC9JdGFsaWNBbmdsZSAtMTIgL1N0ZW1WIDUwIC9UeXBlIC9Gb250RGVzY3JpcHRvcgovWEhlaWdodCA1MDAgPj4KZW5kb2JqCjY5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjIzNTMgL0xlbmd0aDEgNDMwNSAvTGVuZ3RoMiAyMDIyNQovTGVuZ3RoMyAwID4+CnN0cmVhbQp4nIy3BVTVW/M+TqN0I0gcuuPQ3SndHQc4wCEO3QhIdyrdrSBd0irS3Y2CSIMCSgq/w33ve8H7ftf6/5drCc/s2fvzzN4zzwx0VOpabJJWThZgOSeoOxuQnVMIIK2ipaUI5AJwcnKzc3JyodHRaUPcHcD/LKDR6YJd3SBOUKEHLtKuYJA7zCYDcod5qjhBAc88HABAbgCQTwjIL8TJCeDi5BT8r6OTqxBABuQJsQKosAOeOUHBbmh00k7OPq4QG1t32If++yuA0ZIJABQU5Gf9aztA0hHsCrEEQQEqIHdbsCPsi5YgB4CWkyUE7O7zxxEARhFbd3dnIQ4OLy8vdpCjG7uTq40YEyvAC+JuC9AEu4FdPcFWgLuoAaogR/B/g2NHowNo20Lc/rOi5WTt7gVyBQNgBgeIJRjqBtvjAbUCuwJg3wdoKSoD1JzB0P84K//HgRXw9/UAgOzAf477e/fdQRDoX5tBlpZOjs4gqA8EagOwhjiAAWpyyuzu3u6sABDU6s4R5ODmBNsP8gRBHEAWMIe/uIMAcpIaABAsxr8DdLN0hTi7u7G7QRzuguS4OwZ20bJQK2knR0cw1N0NDe2OoAzEFWwJu3ofjv++sD3UyQvq9w+0hkCtrO8isfJw5tCBQlw8wIoyfzvBTGj3NhuwO4CXk5NTAAgEgF0AYG9LW467T2j7OIP/WvzLDAvjuZ+zkzPAGhYJ+DnEGgz7gebnBvIEA9xdPcDP/R4u/InQYCdbQSzdARZgGwgU7f50mBls/R8MSwJXiDfAiBOWg0AA592/f34zgaWZlRPUwefe/a9n/ifYf8xSUk7eAD82QQEAGxcvEADk5OUC8PMKAJ7/ecI/sf837r+s6iDI37w4709UhFo7AQT/Qx92b3+HAODw/DsvGP8uGybAH58AcKg6wRIaDGC8z39jTl5OS9h/wP/fVfDXlv8r9+9O+f9O///hJOfh4PCXB+PfLv/rAXKEOPj87QNLaQ93WHmoOMGKBPo/vnrg/5S1CtgK4uH4P8uK7iBYoUhCbWDJzvb3IwE4IG5yEG+wlTrE3dL2P7n094LOXSU6QKBgdSc3yJ36wDZxcv57EVZ/lvYwiXGDPd1fa2BYef35uLJQSyeruzrk4uUDgFxdQT5osAcFwiAvwA/2E1YYYO+/0hzAwQ51codtAsDifA6wdnJFu3tiTgCHPMjREXRn/csABHDIgB3c7w1cAA5tW/ADAzeAQxnkaGF1b+EBcOhD/kG8AA71e8QH4NCC2Dz4AD8sQmdYycOC/q9JALbD9n6LIAy63UMgjKOaI9jmAUcYSWvrewijaP3AH0bQ2uEe8tw5P1jmvcMP1mEMrZxgfcLt4Tf5/zHa3RthPG1c70TgHwuMKsgSljf3twUjawlyfRAcF4yshSv4wS4uGF9HkOUfTjDOrnfv+I8BxtoSlmsODg9eAsbcBuzqCJMnCwe3ezMsANCD02HUnR5AGGknNweQm+29CcZaUvb+Pe/u9wGE8VX7cwM3jLCbh7Oz610u/mOEUYYllgPI8d4EI+3i4eQOhvH7jwz8swKjDvVwtLgTEpv7sLn/untYjK73Jhh9Z7ArrOk82A2LAeQIs7rdNZh/rIJ/f+3PT/HAwnGGtT6oA9j6gRX4t/VfzrDIQG53R7jZ3xthkTk7eNyHynP3GE4Pq4QHFo+tj7Mt+D4WHr6/iEOc7hnywGL58yZ5YJH4gl2d7g2wIGBjxH3xwNi7e92vwwSUw93WFfzA4y7bnTzub4z3Lt8hD/KLF0bXDdZf/sEwsm6wBLznChMLDvAfF8ELowqFPCQicBfzwyrlFbw7xhHyp5WP879pYAVrt/dmGG+wiwfovs74uO6eC+x2J3d/unLfL9wbYTGA7unxwUKQvEcw+lL3CEZd+h7BeMvcIxjn+9Tmh3GVu0cwivL3CEZP4R7BOCneIxiZZ/cIxkXpHsG4KN8jGBeVewTjonqPYFzU7jUPxkX9HsG4aNwjGBfNewTjonWPYFy07xGMi849gnHRvUcwLnr3CMZF/x7BuBjcCy6Mi+E9+kuwQJb2YPc/SkiQ6766/1zg/mfDn9UleFc3EFdLD0drB/B9Pgry/iWusDnyYZEL8v19/J9nw4K4LzvYrMNhcY9gQVg+aBOwKKwewLsMfADvyuYBhHG2eQBhTG0fQBjDhw0IRu1BG+CEcbJ/AGGkHrQT2JzDcS+JwLvuBX0AYaycHkAYK+cH8K4UHkAYK9cH8K6OH0AYK/cHEMbK4wGEsfJ8AGGsvB50TBgr7wcQxsrnAYSx8n0A75QeavVQx4B3/Qns+C/bnSh6QG1Arh6ODiCPB9zuWpQ7xMHqwXvctSkrCBjWUiAPYrrrVv/TaYB3GuPmDLJ8sP1OX/41uNwJzJ+jC/BOWv4cXoB3wvKv8QV4py4PBhjgnb6oP8T8/x5igHcy8+8xBninNg8HGeCd4Pwxytxpjpu1+79aB/BOfKAW/wrxToP+Nffw8/w5+NxJ0cPR5k6MHo42d3L0x+xzp0h/DD93ovS/08+dOP0f4w/wf+afO6X6cwAC3snVnxMQ8E6z/hyBgHfC9a8ZCHgnX38MQcA7Cfv3FAS8U7L/YwwC3mka6OFsxvnHIAS807V/TULAO017MAoB76RM7SHm+Z9hCHgnX/+bo3fy9Uc+/zGoW3q4wmYP97/+soKV0n/xX389g8HeYEu0hVknS+FQu7rQ9vMayadebJujIshH6ef6XGyjxaaP3D/JTpp9SdbKyV5UeiO30AOUM7XrUpVyOc9dnTvx+1pP2eDD84uNUm7bhtIicfb2F/x0it8ZGfUsdgtcgV6qFIVQmesnOHXyGJzux+JWNp+06LD9Geo+zqd40ROUy/E/C2tX7eyuKc9WJiIT1N1f13R/Z9Gvvcl7+oQhb90xIWQj1jgqTTWTWkmk8wIt2asa53PfYP8ybg/5+5gXzzyDN7/Thrvjygr3k8nwoFZLVkeHkIaVwY31mjKRdAa8OoiTvD1xnTgahpjtPXLWFRomgJyCWjhRfI/eTVnYf8L+NKFp8XyS9MYDbjoYkqu8tkO4eKrRkqF/RYFUIVpmpuT6tnlXTXejI/Sq8dVe++c00YwVZ/vKs9QuN3H3IWL0lr1fw6bDnnPoC4krb05i0zugazZnsa8tB6uR0jy+lbDZLZHx20f4ibMEMbPLT7z1NdPKUDijqhJG4qluPrnpcXGfnjlwSr6R0DgdFul9KwOWQZd/OYW82pRljAt5tuIfX/b+JLUaFV1sYl9AvR5XsfjFzz3T8tH38LWaXMCNCS2CsWMiSEz8jcXVfgByNqPn/E7bytGWI7mDtNsUVPc1BwGXOfTnLRFfztC3p7LlxbkBPpXlvk/epInd6ntMCAT+ImSUd1BGm+9ddxY4d+xPnGdz1N99ROYbIf9SydZghHVIt5gci2KdioUvVSg38fOXWM1ltXKbV86Hrc+QnJHLfsK5OozkPY91dlaNmFicljPLcjbr+kQue3ZV7WWZZ70FWis25XOUUkEztQnxHFlbZ6z1vpDwj+rSnTkZesdIBqczuPhZpBJRkn0u93e3QXax/QxvmpWm5L4546cwCb9EUWQfPbGu75FfxS7bXDov12RjPsnsizSt0veIWIHqkdGOe7d2X+L0i9RcTPqYl/QH4joKsc3w+XfpFAYGF747HXVqfFWha7ZWNWAlURb5fre/LBPhR/f1TMijxqNJ3DnM2bXdX/xDyMBLnHdO5p/2VWWm0jDtdC0/YdG0Kx7VljI/dY0rqW4jHG4qJXDHgYTfZCQOIZ4voK9LczUsMtR6CWiv5h0FVauqrimPfeeHGNSKgT91Y0NJWFbOKIs2H4/Umpyvf8FLjF6VazLynZQaUvIX2TDS0ihznp0HO5PdQDDgbrtHC8WxhJextaagrwQSSFhGMtZNojKY4W9LbSAo9oexaJutT4cHOcfMk+lsEoH0g/Mkhz3KJOmXPwnsdPzZcw5wpMIgEwi0ANLAuoSxrzhS3XVdvnUfXSyBKiWkVgTPY57jfZ4IBvo+lkggCvyhFu8Qe3SF2cZqSJbq0e5GBXj3BoMr6eCnXN+AaDGSBv2QOlLWZ871jUe5PM56uEQ4mk+w1Y1iJ8wRGY+fcOZOzQqE7Dzy4Xnr+XlQtr5mvVWaDetZLq9WlJds38A6kQtVFp2R7EvGo9twZ3PXb47JlMWtV2bbRv2+bdeWqSjp5RjGztWtTM8kaHVf9ne+SiVTK5+vd6BP2ZFHMeV8nuKq56WZun1jp13O9qikZzZFelBIl8FEHf9x99DONrh2Mct0fUzFmKBRmubRyuMR0ng2chFWKhz5uD6aa+GKPhe5DDIskfOQ/NNQ9BdTv8l1gpE438I//ZGjna+q9c0fXChLr8k8HjJ3OR8xtTkriXg9jN/M1h8wdtuJtK8THEjylDmlQw2MSJu4zdX5eQoTMf5tZwJZc2QpPqlOl527LhRr9kWJQkwXd0L70M9FA3ehV6TjU1O/aggS9+W76lzFA0a7/KSlVUhfFWcIP4VT0ImYkGBFKu0dSFkJbjbKTX+d4f71RqiBupTL6qngEXukDqUr7TmhXZmHrPgC9VTV/AhL0O5AZB93FcA8vPPDb1zlb/as5rpO22Htdt7qnq/XHBYQrAaPJZ48tntlb4J2iPGN/PioPZBLwJSX5i4bUdPcGx2ILuLmTT59DY4fw8LsQ0DmH1WlDMSwz0NtzY9fhQSaJEoaO7d3NMjRCjvZO7PyYzCZbBTvhCV0y4C22XkVkCE3EzkRIQRsxWLLFx8I0+DrbohqZy0ZIdpZrk4RrD2dqnqeZLoC8gmTzfVwdFXXeLOPXr0BME4s6Xf45p4SLu4MvOOOuqlfJOxVVkrGhco55tnDBrqUhkPJmX0H974zwXj0zVJ6k+wAElGNn88HThAi7BJIXj2dPcz4OBFKsFBXjpTjKL/7ZHGzvGQ/GuG1XYa6nUiLpa3q2JWkH9stxKfMeqVXg/7rrlQKbYi2xHkNEnHOplyefRpUk8H6xBFZ9ZsT23d5zxXJHNnyaGdQ65yBQVwgnjJtK+tb/op1RcSMXy/wc51ikLLDi8IFfEPgXws4DBDrWxCP+2tlL+hEGAiymFdj1cNzT4iyNehBo/pXLqfUdgeZmIVP5L/80Orpm6/Kytch5W7R0hWx5iWeHnxuZRbN/uKaQ2T41y928BM24kwZI0UdeDaHZhZ8V64pK9w8SPfvPX+cMtY669smwoFf3yg60VNf9GpbzTdbfXZqx85zcI4xOOIPyKS4vdGnzvoVJg+Kiv8Z1UNn4uTz1ipj9I2ihDIEUpyzohBw5Nqj/8apDqsoDIWJJLQgNvN9x5BJ37GjEKQ/R0sU+kXbdqqdfXnfINvW2R0Vkrut3tImXVkyqxNEz6iHPZj84zalFBh4GhOHnaLZ6f2uQsmOx1WTIh3qWGchYQggfkpQBhnfdfTz2pOWLUbFrIxz+YkzvlF0Ufipxfh4bhbbHjuH38p0x//VUkRHGYlXzCPn8fbantMfLfaN2zckWL1TjfZcJ+xWP4Qs4PPS/EvQzYf2KBP0Vz5Dueh+qK81Tc2zxsWptZWurWH+jDu4ID0lfG3RdyTRvPqlQcda6WqEkvwGN4tCUnCuCPU6KKLDOkXnMurRe5MrQPi37GekGVuP+Um4FMvfxNR/xHWuCcrPvjGiHv+Z9bNLgICQ4Me0yQeLKYxSRmWJ2Z2GYxIlsQDUx1QiGlzQHTuCfpanJYNxuPOGNFMTIx/WWPeBtVXHeIee1vumIoNv4Lv2vu1UiMQAFlNtpbDMpkTYlL0WQ86ftI0hEiAAcXnryzpbJj3B0zvyjMydmHSispyvcoThKvN5L3VQvOA0aiuc6DpXJ3o31wlDkudXW4Bu5+9QXW1BHkt5c1MBfdN1oOUZfRX/z21ZxP32hLN7IgHpcFDEd8U1i40DNrspqT2hhpjlQe5ynziz/NOTwf4MzeyWC8Gp8meuajM7FF92mPIJyO0yzhxLTlNGWYEIiYxqmOB544NEGfZwRszrCwFxWk9/Bz9W/fwR4yow2BlXlsd10sIEgxkDAI4eM9jhcQ4nOeHz9bQd59FlX+d/zgZ/8tqu9OT3jZ7NLdca1hw7lNp73F34SXRX1YvgOd7u9bTzOE1vk8W5IlkKyTejGYK9jdlPSiSh6mM//Ehbf9nzlcgwfg3nD7j036XIEOV4zV9IDDH46hiBuV4JX+6Vy0meuAmnu1CFSz7og2ur4IE49bY6fyMm81U3YRrmKsMAXxkDRhH5t6U0hbDFp53RvzPhvxbh/TTtR9v7Ulpf7qtMDo2zK0pHvd01DlToM4yHTD+lBO94hJb2RCcOkV198spK+6pEG3ur5jdT5/sq95dSs0MYTRJOcxKy59fLQrg39dd+SJ7w6FL0lsTOiRptFdFbr0U2Q2oXanT7iDncXjnJwgve9lme2EuGDKnIZp3HJ9jT2XDnWMdX3yLICvFvhyCg1zP1sEtIw29VUqGk2hNFllLQJNBgFu595kHi2uFayMF9jmXIv7tEqsOWLrPqH/9NM1K3hReirjxIHYyeWrCV12sYrASJOgEOh6gpVm6Sh7hySfJaoG+AsKyAVDFXYguPzw6xq3BOBzcqeZFuAQyehT+XH40jaGtoeO15is6pVBZV6lwnPHehSMxbJeTAES+5rn2z6d+jyeTMzEZBPhU8aZvlxLBL/JKuP4/H08+SSHV7j/olvHdx0SVjZ7/ehBdANqOUb03X64oBNKhT85rcYehkNKe9FS//0bfOTWCuZX39IAn7MtZ1cVAhCR/6B1ENHgdR/Hm4PfUlsyELv+blydCCubAPqxppKxQTvmQzBwpQBVGVVgaTxgq67R9MYZ6MgUISp4mZF1G1jLSyZjo5vG3j/B9svpkMogaivUF9B5mvtn11sKwWJv2NZdqLIX/XQtqIoevco21Z/pNur7kpDa+qiHCKB6ZGmSYff3GOXxL7xJe3gcGjHn0nxqM60plYwR9JGj1fP+sYj64kuH4tsFyAV2FlrkWom/E7fxKI7Snha4P3y5v6C90UIdJnaqHtV41Q2meLQt8J6NOeKnKEZbKxNEHb82iUkwivVaF67GLDVqQi9CokCVXZMgO4zE44OWuvO6xMKRuchZuTaPzwBGx7XLG3pzyj8/qJyH+oHyNgp+Q88TUoq6J4xfPWgzd8e2s+to8035YGdd95CYeGnslNdpiHK4eJp6cpNnd4XQUjOhEzI+J44mySe0o+aQQDlzC7Ev9mGVGivb441g3FhXjwo0HbN+bySnJNLdxfSPlqbF6FAgFpxmcjjZkolFnyQeVL54gbGlpwfbsYSXDu5AwWcvbhORGJgVLuUbH0DWQIO+CnlIHwsqdzz+hXnmQ606NeLHVXknLNxjIBHZr4kIiX8E2DBJcEhETdxfCmO6/wa9G/KL7BYvb6tq2FZwc5c5nU7QXRMbd8nhI9eD8Qxd7OQIuhGojIHOKGiS1wYDi3lIAJkj90DIpDzpQtkcVOAQnPmR9ZC4ZmLEq+6Y1EYuh8otePtRiXFp+6eZY68bs6E07H7jrvQw/hIpAthHCZoi1tXrJ7HjBA81ituXRUlabmZr1yvMPVCp1QrFhA2Miy1Y0XHzFhdwtTEfGt5EfhbOss3gGnkSqG+RM0QwOwsyfmWl0w4sG+VvtRWEXFgAU/K9mGlEcFPmr71iiwSyT2pTLD0SFNm/TaEpt5OLKEWDzmT5vFtawChEBe7oGhgLS1FmaMQmVVFWnaihpKGsBrBoPJOqpipCiiqS06oRgWuQXGhkOj0IEcKvfFx2f56TtI+tjw8Y74c7WFJqxK6J9rT4duk0+DQAqOwis3aBHvyfRLnGoUj8key5sElwURVlEEyLd3i4Je6rIgXfdxhlPn22JIzsONWk2G6Ik+0Qp1uVAglGeO6lZW/M9ftHHW0urFVKtYnuYlvx+ReP3mvH0kVcg5mxG/X1QcEKSSsFFqtWCB7m7YiGjm4s+8nu354eK7OWa1o5dqWBdSFgE/H8DufQg5awHbSLn/AfNKb7gi+ir9M8PLwG9JutHiRAGmN5RkZ1B79Fz7hdBZVAlLW5Jws5xLjnh4huBwa1sClqvBMEpzEoTEvJpLgrMat9wtzVrvYlQqYemSgr4WKEC8W8MQCw4DR0bCy9Aq/XHPj6j2QH9wdR7rNywra4EvtuQhmxmlPpxhY/MkYXQxjZCoSOp6n+u8CLHuS8E9uxHn5AXb2CQhem7URLRde5mUNpd0tPMSavqiJXteZzPx3PeMDGfSKQFlhUqkNeK1krt6+Ci1Zo8M4KytxeR8JjnWCGaJZayOyooOe7e8Zp+YWkj4sSbS1JxQEebdvqaxCenZEeZRCFclkszU2Raikxlzfqwe8eqYXRXFwlaz7fOizGnMLAJBn9wK+rcD9U9nVw670vRsSNgD79cofqm8pT9uJdZqfqquOzh+qmLTw/d8xGHCt9njRfrepEADucYQG3W+/yeFdpSzwK+UcTbYEpd1SBOmPa+CrJR7ZBf8mpCGrh9vDheIfsmb5W6PKiKNmI557F6kHj/PFrWIC85GJ1gBIGsABqbrhjKc7FnpvlGzI0JduWJKwhUvV61BLDJ43YGehAJHOr8VnSon3o3vemtOkIRQ0I6/ypuWE9oZp21a6ruW7Mf9iZKtDdyqVH+sI24jfIDK8cVnfuyE1xvfSO9rpZWW506uduA3hunaDTUzOkTj+dDBJ2H6bdjIo1VhTdp4OGOy2x+jA28tkJ6b/dyGjykXIaTySMYqJmcYVPZ6Ne32gx46T0b1PRD7CCdgJBjEEBC+Za+VOXFYWdZJSt9lCCzeYc+n8q84zIBfsWWZQjn+0C+4/4ufT2V+T8Rvv8TOy6TrBym5OtpoyKZU23kIA2g5zHQsfx2rKxUIr6ehsT08rRbb0/y4X3eHia89jD5IG+tcPBdQnuzIxok2maSV0Hxx3bHjkXiSZqTNS4yFrBtnrjKoEHA7uuhvmhb98tnLo8wOW7HkET0sxFb7HxcClHOUVOCWjfKFek2watejPs1ggv5sA7jvHLygKkJkx7iSrmi56+nvw4kYCPBGq4ZFcJavEFtewEVqprpXuqtenDB1zyGvMjZujLeXvudfbmRGWS38KErR4LLMlw/KTaSw6NDDMM3MnU+NChv9qIeUym/3e9B3OdaRi/I1R4/mbsTZTWbXjF+eRz8FNHDq1VC0t2HA4TDeiNbueKmua72N6OCQzsnbjvJPZ3yXM2n6hF4EVddB1J+N3mdTnRvLCr876NkdRVaVks9A1UgKWCJGfJf9XIHlB3FOyxDdtDtrN64YQ/TPOox+W1kOfBWL+ZL1CN4W19UhOARIhdnvpyDxwncNdNdlmANC6XFdu26oIwEBkwnMWI2dFjL1K1pBQMg1dazDNJCm2fW3w7UpfwoWaC+PzSgILWyJrsHiKI/dU9nhpVDBD3PvxqZIa6IisU5Z1c3wmzHyNOnORMOE66fxONtpJD0LOQWFE44l+m5y8Rs57FoX374bRAu98UwjIqF6H/ErDgnNiFI88H23a+vqgNfL6R0sOF5GZmIkBF5QuvPBxGE8CSHusYXnjiS6MB3fylr1OHjNXKpVDqo+i5vEb4GnARtcQ54xpunYiOrmzEARsJDDSKUo3wwnemoseilUE61LFRsdJCL5ztFdEk7pLRhv4+aOnQs8TWpRVU2cCiJ6xIjaPrwSE9w3ES43ZIaq3592+60xZ0hJL2LMniOvlPVTI3GASqTri0XfaRt442AF8mOJvVFar/BsGWH8XteTn/rM36pwh+RTK9Me1a7T5z1+vnMV+iZNGK9heK0k9HHHeK+K+75wAy4Ll2iHyQai2jjPwoCx1arcEj2rArClXflt6isMbakWMMAZEQGFS+LrZom1EPa82mgzmpKAshzqN/whhZtLNcpNZ5GxQXtF9ElT7+S5x63mmY2hmmLRFRGsWx2UF6w2pgcHPlRZB76uaQsl/Jmx1iiZq185KWIzXwFWqQRvvklllzEsaa/6b8cs4470vuzOL51yo9nSMT9TDpbHn/vSbBI/J2Btnhi/niTPVCfsol9BWHj7wnj1URlX0aMI7sqj39IrPSD3fb8CMsZn+b/ZNLacYmY0PiQ6GuVPoxTXlE6oPh8LJsIm4p8K9v6Mnv37qx37L5p9Ikh1fzX2QcGqkkGq8vXsRD++Sl47VbUbKGL90PrM8zOBeLLTaB17XkaL2zZyfKx1lCq8pxOTzCrU3jKb3zGMQoOV/Kg02ZU1AYM4UIdlOasp6oOouibRZ/rV/ArGE5CJobBasn/FcfAHQt0A1O94CNctPXCeIljp7wRdUr98sBwiTHNxbEWsEw0bjnGmeANWNt1Sk5i2NpHpBGRr+/OfKdduWa34UnqwjUThh82EJOWwN3BlrrPlaSwe/IxouS6PIRL3nIafUuA5HxN9RzOjuKucTtBa+Og35qUPgJFsXI7mp8vqjPyNMXPdUR0tjt+o/f635xAchdu5E6LgRW6L7K+/P6YXtF/VXpOzSNWno7RRq1W839vJeg6pR/EDr2psQu17+k7UFzH2zpKfq39X/bb0yAP5+ogya2jssDuL3Shql09nd38qpuYpq5M8zw1AiciYUMEdw0BJHuPlUOHoQS2aGvapmlV8h8+bp6AbRddNXYTvIcXJE8Wg5M2y9UC4XNyjVHm8Xx7uUv6sJLXmXxt8RGLDuELRbzfClJ52xVRAv+ORw08oBEoA+XPwBk+vW00w8qBc2jPeCbN8mW/zN12nkty1SlQpqdIx8V6HDGTLwmNH2Aw4DUp4/sC+HaeOZvdTehl1czWYQiQ3Ca2t7N5Bp1fT9vHxEeGdRRt62wqxadAudj9P4DV1S319nXjaucQbS1AstZX6BUdxQfND6stYO2w9at4Daz/xTkeak+JZKdJUKDuh47t+HB2tsgRMnpkzwoi4DHzMzbddXhe37FtXzy+weMblgcs/TzO4I4LPjIHoe98RuvLrzsfc3KKWQAI0ijTnxE8Ejh7zBuaFsLyvcsLm0ozP0G8SCw0BGIaSDbStXixlnh7Tf+ETZ5pI74/f03Ux/IQW8+yIY+iXqdKJqPM3lnaKptIR4+zbr44ZqUtTEdV4K2p+VtszruKmHo7xZgmV5n44aXWGJZevzJBSZ7fckqnER6sgHUuL7eZdRE1kSM9s30iutVxpEsBJ3ZyuUgjHpBrMBVGsElFzyHpfAlg+7AjbIngH68nNFX61ku1zxEnP/Ei5BZAYbFysJhaZpk8rPREpY5IFBO/BX1o01nYO7bIXsU4D08/FEOIyUmvkbHVy8Ak3BXg9idLxDjE7qPqNhx1kRl9FILTAmTjjfbT9WiApQmRrgfx+Ibdlo1dSJT2i+PrgWHF/NEZuEx7/ibT3PO5hTfa47ZamPcC8qJhSWOG0J/Vq1B/7ROG5Is1TNd++Khs5moKkGdsExtrTUs0Qec7vh6SnxfFHdIv9qXK0SepCaSe7jgTrrGfBX3TdjBtwswN0lEUGehXOxNhLnrQUfyFwVcksJM3fi30nO9+wzn8aFacjcWbmzEFkJLM0JUa4z0Npr1/O7yTN2ImWXlAsVKoU2T5s8po1ov3DoBPSuTGtyUp6LkzK47Kz+B358vXKIPxml3ZSxHY1MaHu578VdsoxQpJQcEo8ZYqlpMMRSHxqA09xmraBjzjQVmPZNuk/tyN9xSWBxymoanVLRUsZutR6TCzNTBanN0gjHrD5+4NfZAoSZeixD5p0ikNz09HNl6r29xpkWdD8xaFtJRPjkyMXQ4X93Sb7Wyx6AogNhU9K33CjAAdlepnyxVxg30qXTtamNdML1eL4+SypkETtmS55AhNvFN9HNKkOY0XCs2vhri/T3lcbesh3lLWFGhKoYX/1YqnzqiCQHUbim5MkIVbByE1ihtcr+UCyqqrRVq6exHWBxUZcoYksly6fMp9vm7avnE9188Y3JpSdJbKA8srJQIXLsVTy55Dcc2KTI09dtj4QR+NSDO+HCRRAmuCqtM+ZXOkC5ZAcw/lOCvBb7HWlz5jXd6Izx7EjKn2VsvB+Wlyl2XZk6/xBf6wwnLIGzA+WG/p84R7PKAOu7A0rPAd2s4urWxobszuXJtG8BUAm1sHN4vn4XXPynggdTTsLv12Q1ATelG8TorIb8A7pWchUVZDHvwoFsGrFyJaSxmXYwUngwc8J4jLIxU3y1liibuZ9zSfNWsn9ylinjjnIq/xObhBTtcPwmIoPTRpVmr1+XluueoF7lobvfWNR3M+9rzLa2niaDHTZTBIjXkPB+8+Pxw5LeeBd1PvSF8ex6HJ4fkKDdn+bj4sH2PWjCI7+EjdCmkS3jXUpf4G7RjmoJWrxYujJ+UVG/6PfEnvvz1/w8mKJgWu0CnffiWY1NNwcax4Tt0uXBv3qabQToW7RtsPjO6WfHo60R8jCLLqpkrVHayjD9yez65svdceQFZbeoiCrs2vWBc9KMSoYK3zCzXANM57XOKd/H6Ks3SrC/+NSAIEpn7zOlrU4psFVmqNLRp9H9FjlmvS8yLKfsXoUW9iR5lM/b6Q8l7wZnNI5ymRORe2a+UCCQLKwB+q4w6bg6qgQQjBEDK2xdKcE+mVUEKP9m+MkuaOvH5DOhm9C4KfT6DyzcSm/S00Awbn5sjZWCmYeqSKhYEPvhQ2BetxvnTAzR2lGQ/mE3fdyqrFlM6pnbRhLewop1bEE8UiJbxPlCwIu4df1U6bgxsep8y7TQxK8R6x66YiNYz+ZfF9D9DIUMYZrfiropXl+GcE7LeJa8aKDGOiJ4BdBjPjKLzzBnvhW+swbt56sZWLysd2Y6KTMR+bcy299canWDR1+q80NG9EfymIV0J5G0Uy1ryf0nzK3JUq6mJ/n/1DEoxZ+p1c4KR27ZhY4M3VTf0XeiZCUnfqDjPJx9NCb2UgBA1bnxMN4Z5PYzcoulBnRjRWHZQmk1RlHaBaQS0G6guhdzWo6laMLJYu/KJG0YM6vfieAZakY1u7Ei0ilpriYWq4cRVtdvkZLw8LLxxUIwyZoV1E82CdH7ssaahPJ7eN60JIkMrWSjTnvqxVXT/hxeEIds3JRDi5q3Jy0dUMlN8cjG/JaO4dY9CNSCqley5wJS4icQKSo5+d0yehTgcgE2ZVx/ZXqQKb1K8GmwZFBKXbp3MAvG9TpEdnOJ+8ZLbVSWzmrdss+n+CnX1t67otIXksE54pNsyql0T92UBc4oAsTW5eVCTZGMHxGBnBxC1b83GEU5dC/4Hyg8R67gPWQGZ+xqLQDOMaG7OWQyMNxUTX7LTLcKTl+5403UWH4eJ1918jpZOfricYvLDLKjW91LJDZcegSWDSVBaPUFObrEf1FV7dlsTXemlwkHeeGT+EwNZagvxfQpVcJ+V7uMDx/4IkW+JuWty7CUOboeTU6booXpiZtJGUmqsAnrHXczUJm1L4IUCeuHoMxTioF/MkXSR1DbrPpEV7wtJ0KxI7csz8Vy2m08Z1SAOILPVuO5e/rRZVtbVSKiaY4PracmhGr7J9cNjfWMJ70IQW61KjieYnNxPOoJiEvFHNYRaPvW8caqDwaY5L8qUtOI1lWwXdVja9vOshtQ9+EVB4revQmyCdWRmSnfgmaxPr5WEy2I2WcuWPFehntmXTsvE6Jc9qiSxD3ZQxtBYLRGhkKiLuKET1LUxqykM1UiKqkx9sxpgpX4bGMmPo5iJnp5dlRm0zv7wy0hZUWMhzb55+4hID8dWhW45KYh4UBEoUfo7joP/5O8MM3EHJt1i1mGCobSsnQXfI0wz6dIBpgnmR3I+c9/HW+o9SJtyIe0Z3/nOBrpnC4P5p4Je5ySHXHy0g47ptrN7IjuZPQYR9W58v9KanQw+8YVhqJOgPDNFwbNRPqw23ioxhzu3WFo9IxdqhXW0zJNJABZ8ocGw/Nd6TZZ45Xz4/YkJ5gaycnrYFx682jrOmrOej1qr+50oDWJX/8HJB3gChKlpJJvRgtZD+fUIwdaLGXJv3+yzWqU+d3uov7Y63xj82+eGgULNeNFqIFvOQI7IahGyxtKa+n3GTiHPi0rF5gDnvZ8U47oqiGWob9kKa/jg8IQsgKZfLj7SPk/EpHb9FLggXAfnPpgDSojISA7xFfV9+qPx+qifg6NDU66hvAgD7cooKBNEAzu53zmnw3ZvDjehnJKYV+YvoR/P7SV601bkeDtMofwRobkpjRRt9eRjL4VTcpOOBHckJOdEeUzRXmoJNyAXpxn7DZ+cO6t5HIRkg6OspeMoY/IfewcCNv/cJPF+vT7txtOZhLqRoSTUL1nU5GcWQI+MGIY740wP6oYO/YJf5XstRz+xgVUe7ww1+uLnDFszHQekryHYDTtKEdMmNBWxJ2aXa/vrcZW2C+3MXFdNalX7b0jyvzfFGej5GQOFT8xolTDYDestFl2Qsun6vnBauRfYtIPJO9fE+FnTeBMtTCFypZhe5ce/Ffyy3MY1ZeI2VWB0EJaxVTldKYKjMNIrKO+K8qPnodWjWN29DTKPTIo6PG5M9EkRcK8YU/YnxBUWUCklsj2UMplWdyP+Wo3K4lwxyKZg193iHGDqrAzIK0KhohBeR5PsUTu9xJtIrWtJ3yJIsDCF8LI0euxmrbjgvfEBotH3OhRCfQ0G5R4TP8EH/BHQjGaPpU5/qrdTeIbuf2OyKdlx0Le0FZoShx43HmKE+a1SB+ur90udPG2+1UbyVpDM9iDvOEyjH7tZjU0u+FZAe0jhzGRm4xhsB4h+aoH6U1REgyw7czXs71n5UyxVbE2Q1AZWIDux7dLsqRStCLassWEg9s005CRPoiaq6vuVLZtHRn/POo60MGHTKFK9QQTOvkKRvGHe7bJwXGjXrmRBayuHUmCersdul9Ua/h0wujqfmLHBsnoyQ71UCV0ic2J1eYN58hXnIHqTMOYwlxw1KEmT/XM83hMwvPPdCJKJWWUIjk3bXbWJreciwVTtIA9wU7vSQsKf3mLeuyTpI24SPSZlgb8ZirrJssBkmexc3YSN2kN2T7+K3jkzGzTKQVCElHJ/Sn3XRbVncPEplAkCJskBGKqNZWVe07Cx8Vj6nn5Vk1hiNuPDUoDdWvvNSNV+6TzTwTu/1oVBSD9TOZciYjoY1/EnF+vLs1xXlERzVxTEYJv8DB3nNZ4Mcs6ueI7PcUxC8kM2Z1qCy2GailX0t2k4Vv2B/6sgpRpvJiiwAhBKu/mzy7XYkYATXBVfQ4uOzTr5gP7eyUG78MZ3aYVuOkmWaQ2opJLE9kEUQ2r2q5a4tlijWRdNUjGWCodkJIogIvzCkvaVw+wrvo7cT/ulnbHVbMVVrK66Lk7Z4j1Xquo+/TwVbaQ+SlkR7+G0nZO4KnI7vr+sTlNwD+tbFYdKg5wD5O69LPit/04N3W5JnYCi0R8xEGnIjqUaslijIbyXSu/cxrnU4ru9fkDkYoO1Z1L5du3tH0Lc2QDi02cWgSw5HWXuAeZewEWrgubZyTbNUMhdEUscZMzfUPqU7AbegStxPr5tUjxg/sL3T5vHUqTX7zYZG7zI1EEDWYidju4pY0QAJMSHVKgNSk8L0cWX2jPLO8gOaF5MqSsabTxJCMMpnOr6fFP62uUgip2WqM1/gpmdGotzefaXZ09I59ZOLuZVZQop2twZdKUI+bK/alJpO2KC/BWmWHrBodftwguLRyov2we+m+Sia0cNZnmaitbayfluPIKKbGG2UnYRyuyE+LbAc+Q9CxlK6cyUZ+er6s4QUvoF37GDcS2inW+DFnaFD+lMbeAONXt5xKIbz4pNKRS67zqU6zx3RsJUbqaFoZB0mJzK+YIx7ZkmALJgGGxvPaWWMGUd5cQ8GYtcTLNCbX0PqXVokYKfEfV4Mbri79XBOSxKa95Y3pI1VD098kJCTIjzhkHTce6yaUMskp8l9wo/Tla2Z8BPuBPrTZPel41f/FLPW8L/SdrmxWLm3EYah1NFQuMtT0a1V5B7r75DynzNAbvS+Ikg6HMi+PciKy6jbX4lKnAIsMDu1o8MsvB2MVxmhrSTFPta48FNzbfq33sBwQox7bPtkZwSJ6jxKU3k4dY9sP4I9RwWLWw/QnOpDaD6V3nhx0DejaveoxXiF5MfpiJ2I9QxUiXTbUSIxlja9oTITLLHv0Y2CroT39fZZsm5p4aKXBMEdbXcMklcVJyWv+VKNTsfixqyE3thybndIc5Z5HfShW9AEowa679reJRVYfbh6tm2CG0Q7htfOM8MAZT8j/THYZpiwwcx8fpJmST1AdNHnVSK/ND+wYmGxvHUWUM9R9lm8/3ypl2c4UixD8E3tij86Wc69UtofF3eHMrCU8VPXlxJtnqZQHq91d+XAdcQlJP6sKtx/3IZ0hcPCxVe2tk7gWELoVzeEAExYQS7Qw6SP3qQzwM1JCKVYuSLt1EW8/CFgRPP5C9dKX2Y7WaiVT4fig5wX77dZmXUPSWaR40xMp2ccYdGYnpyQh2esxtHJfq3H7RDW9feWXQ3TclF25GjlsaLafHLrHz1IQ6ZIO/4hTam6b8wIqepUybae1gUIfdZe6Nn3m+AUFUUz67rTopHSXgNaO/OS9OsqbCJMC9pG5kQ+hXuIU9YnvjyWbpI3laEPRT97YO1yO/PQ8zJhQbeqfMQpvLuhIyVwt2re+aUldujgR3xhaaJElOnrfrT+TzcCWpuectaCTqyJAWTr+DMD/9hgiTNDW9n4tOfTqk8t36NYyqqf3dnDP4DW6As35J+YQgoOsjzdty+Z8j7A3vRX8OyjetpChJWwR7dDgmoyoDU+MhStSz/Qqv+DbarNXuz6OEDH50JAWONOVoYj65aOVzpc+LB3xLyM4u2j5nItZm0Jck3voV1ifO88He5HzBUt+mOW223rBuZL+jnj89JxNN8h/aLYz8vKUYBVlH6rbmqNNnvI8m9Tn2wSP9xBjl4TNdBSqG2X90PkbtMW3JjXFXFXV3QYRVNTzyuEmSvHQp5173pLGjb5ti2o5G3CLmDxc+/CoRvvZinGcpIYAGQWc200p/ptuFIU9scmP6I8GRXGw0kV+hrVO0116ErKcg5neCTeZWc+guPgKTpDXVq/mtr4YMmXEPs9FL2L5spzDAiIyDlYmVWG3b35Bw0DQRHywDHJbUfcZgr77zuYowmVe4YNtV2PSOYrOICL4JNrI4xfi5z4c8rkpnYg5X0ncnKA8iYvRWBZ+lTxKcqJg4/N3Plei2PVKnMT0eEeZLBGaPAhHcv5cT6JblaO/429Nnq/BPT3U7uo5FfU4X4v0xaiKOqRtSHAYIfEuMGrixnBo2QfqHVQbhio7ve/iezlQJqSsnDJzA8TiKiagrkt548tcbIujZY4XOuJWoCuaNCO6aik9HOiQxLRcYJHbwy3cVC5+zQ+NNO3tjKUfvEUR7+3T04Pmf8XApqQkU14j0m0wZ7N2ik8l80gSnCZXME41JoKGloF6Y0uNtMSjCdL3O2NfHGp58K7KAoPlPCvaVcQiV3yrLW3GfrblJ3MPo8d9axgm/bpvsZVXTd80MyFu4b9JnS4RGcc/G0tMrPv4C9aG2pNLfRYcxWfP0b+aOMuXIigJPvu25jCb1a02J9OpJPVedexXy+OpGfHZl2PBeJUoYYBUitVI1NzmdGJjf+Diol6dvLFZ7SNbYkWhpp/ab7djX6OmWIw9W+6V/kglYjvYmGb+6bTQSFMTF6HZ4qZcY4dBkzQm5mkKBK3o6Zey4JqvnuT40RemnJoNGVX+u7Jq/bGKP3IPKuX5kzJOM9wg+Qh0T4tOPA6L/Yixy5Ow0OG/K+a5nMJ/dQzdQmZB3Vf1cdFTalRHq/PYOlEhc2SSBcrkK3O/e/IUR4WG4ZwtzBLhFRYDmPvp7+D3cyQbi2zDKf7mX/1eRiDM7DcFHdjdXjQul/3AlmbTR6yPD5XdT0UyVScZ2/JwL+rloutbHv8YFHCBcFWFbSl/WMvG+u7LoWh50Oby9yaf5tBqFqpKThLUJOCXwV32rtt1+uTwmUbPrMcy8r+iZnusW8oCdpAS3p76hlsyuT7Xp5THgGyFI0Lwb6Q6dVgDXqma5YVi4grc+LQcqb5OiXZ5nC2+tXaZYr3cl0rtdAHc/MRYwNhx2PLmRpGXU19nK3u2+1kiBuT4dNRWrHJ3dKjhGsuI4haFiGGBRZ2aRO+snTTvoFQXu5KeUk2hL4i1RkT0cwuvUllI00/0qZfHrkuY8u+yr8m0dxek5BixaFp+1CS+UHrUUcQn1yFEMIPi0ORpu+1F9f27BIM0SV2wTXCScxi+GPXVzgYykPJN2hRXVr3g6sIA9icVcoGwJuDwsyNhX4ZiuxTSGxGZhc2zqOYIX2oinyOyhDDL2GNW//awd0KfI0s2MyRZqmRmn32eN54+tiy3lpSfn1FsNybTls/0sHlPMRmYRINa88J8ASvTRq/I4DGPKIWOPDZJg8sl26h4jCFNAPOa8IXijcXqzDNzlfouyoFYq6DI/mLnCmT+/bUtVE436MX1ZRt/FoW6AE00YuHnd6c4wvM9kz6I7/FYKc84cmk5aTaX11movBrJveYUPx7dNu6tz4mXVp43PFs6OTf28KkJ9/dIe6GRS66ibqbUXaq2knjLG2Ih+ZpYqoj3mY8312LCdmhMqWKdbvjs+PeybVxVqR00oeNEiHmbAAk7Vr4vLhKmY2iXU6gJCSGiH4mEF3IMJqZZLFWR8KO02WI2U1Ugj+gLViNPWalEMcNPUpW28sf1TOQVAc0FfHHbptY4GW/VQ2uWdDg66UfMn+fQyDHIzVlzjtu1Zn/b14/wp3lFl9nlcmISM37ZziOL9/mApT2F8XtIpe7hnD7tRpD4TWsiXTkTsVxGdj+K4RIHFmT9N/ljjHoCa2XJVmW994TtClYTg9efW8q041xoIxzeR3lXM6Jsp65O2eH3/8BErXZQ2TFe7mDLKeqwz+Ap6HxMR1Dtvy7WHu7DUNKwrTOzedWT0fj5x0iZ1si0FjUynCg1JxbyTfYtxxzcVewaG33zluRi5AB7KaPUzYf1E4LSo2RUyGJxKtywuY57S0u6bw1QsqbHZg0kE60nxdRv8+mFBRNfZoHAaUCsGL7nxNXEdEiTb4vw47dnoLByLHlErhUePjfR+C+dcM5lpswY3/a02Cv8KmzIlOrMn02OJ2ti1uvZbiG+AMBlhftw7hfHHbc3SUonk5TIZlj9fKGtHW07e5KKs//kdS3maRjJSrLa5tTyDz7V7xcx2X3GSnISx6DQk4zH+BV8r0cMzvOL8PZ/EOwL7E5kHimb3vQu1KWoZsp0Tblz2rOc/zhj7FuZVMzcYK3f02aKBEcqJouvIGyofUoeTqpEa900j/ptE4bezVrsUOazngdyWs2LG+9pzNcqaNtaO/iWk4fRvW/r5Li55w8RrYH3luAscNY/EPDRF6qpMWv4+G4V0+DqZteXH1Elk9xFRPjnQDcaT7LDF9oFjhkpSwJpM7+JcAuX2heQsLJnnoyUGgz5xoOS6GrD4mY5IAG8Ir5U6JUFXQTWiH1ToW3MgWyqx6N6rUECn5DB1a9Ldi/2pMOGAMnNIiuaC0mXq0IbTzL5sa+qxPsZoFjcTSpQaeZfgP3RmuhV9P18sh9sLJofInQZ4uuxmLblibNyzp4baDJRvexFJPYuRp75CDdHMmmlTrdun1lqm9XJxEfkwONYIJ7cm/Cm3DzIbTf/1JrIovpZcxSFrdOjzDle4RJSGYKwWoeV28yCC5d5mWc0zLRUvoIGwU3cFYtmiZt5m6jNQDzGj/syxbihCqlzGgQOC/LFs9tH6r8InKSzJt3zsoLa/CBjjEoKqrbkIAmGYt7E3h8eOUMpVh1qGQJzmcrcjrFl4h9fOFzh4SQ5B97Y63N0C0XkXjhsCPf1wj2V1vbcc/30mpWPYZm+8hilqznwQrAhkY6uWcHs+ssKmgsDVe4yFspWPn3QxqFUOWPN/tbZi8Ofrzhjxj/4LNY0F6tYhF3uxadHxaxXZz3xUwnoRQPiv7LRGvUnJ5dKeJMD8cuopY4lzUxJ+iQUtVOtlza1XO+22jdedMFxMYxmPryHauQbmvayVp816OgLTh6FG8LO3Bwz3UyRVqUGlyGmGC2hER7khGKIjKeYtNoWQk2KTa7fZjDHD32F+NYDoohj4ZGnoV0QiQMWC6Z6xHKyuzOxwHGS4jT4e97+Y70h8unVxQsjWncKUoUGpTSI6e0y9qCJuMtNk8GPPepK6+96m/ZdqxJm41M+htNsN+pIL5fHOgdlbZ6mEui4cppTGYgQmr/kVhNpYKPGqVYYqCogITgi30aTvIyOBe1tkDI7/y42R2pIfOZKNFqRVJxsOB67PquFQvRe9WWC+YRCitNISqjgrP0Erm3m1a+mtTa3l/3sa1UrpsyGmfH5L1wm5nLHMj8kh/C1aHXn9yNIUGMHi78o6/7AhM/yKucQhLhCOMvq19REwIMQ/PKqN9ijmMiFRhBUlz1eTW+F8470V6dj5+Yoogl8V3ImQ69YUsJLMpqDOT+Bpyb7HGL4GGQKeMKsGhyrDkLmNIFe8IyUM8ORkTWKC3G5sy1uqSGdisZ134tqbaeEv7RpTv7CxUOTSsAs15wkNbY7S4mVoPMin6Rr7dwPq61tFa+YEvlEssDetlu65pX+iLJqcMdlFBk/yCW7W96RsgIAZreVjszCSIpRCWrblfdcuj2Rf6ZDbrF5hPEsar+ld7V7egn7DfeHye5FWfyhWR+KgmPxm/RvuTfiM2q8RNA5Z4VLJCLnPZm0CdWUA0dLlNidFLqCs+tWkb3ma4LaFLie8OJksEiMsDK3A86I3IlnnXQvfvkbReTuIEUde2AyoEpx6sZP/rvJh9hdiR8HGhwS8BdwRstesq70CG/Sj/yjRqCqbPxwlG3fLwgw12qlarYroTzY2Pg3XrSPX/mmRQkcmH3PDArB6bKC+gk9akfGgncD/ApWGG8rSgqTWqkPSYW3P8+l1dd4+9nMCjTii2CbHYaC5vF+T4cROcmDmOdNr+Hly923fJEvMTMC9r/a9zIfOaZ/UQ+TiAUJhpL7zrZWTbDAkdqCn35yzmnt4aF5nXYWCiJFPRZ8Ve0c+T4aJfrZ6pGHGJDABo0nBveu/Y0gyDQdv+tVtXexroPUur9DsOJQ7RA6FJRRDTK9amVRapc4bVNl5BqEa7s5o6L+odL1RNm6a/MR4YRc58ZebOAZHmc1lVngYzZuDfLdVrN3JNOZDbffqwl8/TjYdtnmvCTEfT4omDexgwFZg+Pv5tatdLUOv+ylJnrTNlBHGdRSkL+xeu6wGuXIrahLooBlOIm88XQOVda5wDUJSyL6GVWIGfda2CGYejnIOJXMLrj/M2NlePsQJ7J4WiqxpN/XHZ4a/doDYSXdkI5bWXa+cThCryanZKw8jyVHvBCDpWUuw/V+ZfIIMRq1BqDsOvsqcyazmKbZLP8CYADFAkH8+0R4C8d8w7AZv9ZQFHA3fLD2DYh4Nl9rIMawVKJjQNXEspqTET+mjfvZoSZF6lld9htU4o8xNHOD2jgS32UU6U1azfRTTlHaQKcs/gJbO6nU5wFxYlV+CODDnzr6bPYL1C+d/BwjTH/84mK5LZR6vk2e699m/6uvmqJvYsQ25NQWL7zQ5Itb7xXKUIjnq4uT7PPs/N/mH157d/UK/sT70PV6JrEUOV86wR7o4ddCy8jd8pKUQtXC/5RLgn+Gu261IDx1mP1Msho2yFPC2WkLDyxv2rFKbFDwf0oXtJCz7vk1sydT3RbMXUFrMfdZt/GX/kAYMYMZbgfwPDbIG27o6BkReQUJ2IGoOaaXUONi+rn+07UWt4mWNwBvSSJZlbUGdU6oNab7WTbGeTB8BJsUthtXMYIzdUl979PZPKXypqePe1GRlt5T8GekUaUXF7vMrGUNyJxHCio685exgy5cH1eJPRZ+eUHu1sOOW/nDQYHI2Jr3J0culljWU5KVKUs1feQUSZ3ZzXXNkBFwdfQrInfyjR1KHQfltkEl0ephmuYJZ44VhW8v4bLcuL6Gunkaqfk29piFrWxKOTsI9SHW3nrtmYabmSzvHZTUf4HP2c4bwWBTs/9w3fH4nH0M9bxbpTZ5fSmG/iDNk+LYx2VEJhLpE//0c6b934zns7sjcrKBobvo2I667Mc/48pPvXZXAKWxHr+5H81VLeJ+Y+r82sqa4f8ktGLtV8GA7WUq0gfeJHs5tZD2R6GuF9XiF6g/MYYA6yR5C7jMRBQxeV7Ffu9e5eS9V4vxq870MUIOh07dwqNOMY1Kl84wzx+WXtL6eIwz80GVSsiCy7EDcDrdC6vcG5tfzFwTSVzXufK21JATtedLkwivMmr1MVr46G8MyBvQFzBwiHx9kyL9rlMqjFj/Awk27Udnybw5zRKQxHvFrycLb1/0KjfIUu3KiJa//i2urUGOyMkc9o3H4JlgE18iiOsUCzd+rDc8iRRLhZn0Jzn6WXfZKqe0Yw7DpNVl6kIid5yyLWWNf9BL38f1R0hxuhb7Rm1nnypeipY9ffdG7cu2vYOHg5VFyVRQVfOObli/UgH5IL2gaT1tW5EeVZQnSsGy+HuM3CV7Fgr5kKJEoA4E+/du6dk6Qzk1HAUXTWwrhyLvR6lFuphvQVIoMvTpRx41tzy5H+bWH6ltopJ8wWTvZ+MdUHibQbrHle7iSt3Ke3r2DNnjkwoRThTyE1uRtDdvk+iWjI9OUz+S0zeVCloHMTH1bI5CNWLPBp4SYIdDDDZin2AFP3EOtjFLos6UsqeNr7Bu0kk9i/JpyvLcpsPwTJ/iy0NNbRwElB8KXYiWaDF/9WlGFFWueUIy9frRZ1UP92Qv9bcbsuAeBKmV0Ob5zGiyV5hxAL3z9GKdzbDpVSkq16tNjR3WLJ6l5ukBvTK0G6d3QqSLJKIxarj/L1QUq+vsvjviFDcI5tiOCI40dO+vjq5Y/Hg2kNcUg1pxZfKVASGTfAD5486UDgW21BoJYZTygIbkTqfySiMMve8NyFKSlOv3OAkbSJin+gMf3Nx0lcO6wDzXAgDO06O+HzjUnl4KnnJBYCWsmdjyzEcKJKZQUbQmPxs/M0rgj0hU5gzPhxi71Q5vCw7uGN7teLsEKJccJNImeeUuxiBiXSzh9LA++PCyeCuwd0jmpn5ZmCTsjlpOUtkTHyKhNTSvv7/5wAzrCObCarABxuaupXw9KVzlTNhOV841W7qexTrJfVgX9XHonqtyixGB7hWQ7gy0AQFcFDTn5ZyTqmA772g5l+1qZPlWYEUEeuS6aY2AhG+iCIiBOMp9N/OB3kn9SlBvlJmgGuHf+8T/lIvsDya+hlo9m/TKglG7XnOW1x5rzZWTVDRRtf8KaddwxsoOWCzidpJUSF/+Ujwti1Yw2uPc9BWUB88JReRF4yxAGO2cyAkH3TLGIIr3qyI860sj5b9mcSOIGFDFwIjj3SF5Xvnh/utgwbbFXBqFAYofLTIrVyJ92+uXm3i4E1hvIHVwALmbEOh/awOtndkgvnN176r8oFOgSML8i5/Je+Y3+tSKHEqQyGSjGoS576AzEMkLKDAf+UUnFsFT50PUcrFYHPJGS2f0LLC81PJzYIi//kgqc05vcORw76UocuOcYk+eadVV8Rhpe+EGUnMA6Bhi5aZv81M/q01EaTI6pECqEBNkd+SR4WoA93vT8OVwgPhcmxwzd/9QYiyJAu24VYx0GeStAnYJsMkek0Z5yUOB9CzyH7f0dmv47p6NH+nq6TUz9VAJzPn+X53hG0NEv7P+zGr17FOUxjCRIlq4XGuCEpcxtXICNh0IxweYf0v/nsEXJDlvs5v+hzAGSC6ZkkRoYRMPdYembp8E0WrxVhInVIMsrWJozQ/SpU6wUfLn/3AG/t+qtisbYb3z+olQDrenbiWkyAvYe5nOVt1nGmFrb1iDWdFJDx+kxWqBo+32jPw481rZacpM6K2aci8OVcS/knFYQEPnid+EGyVyzn8SHs1JevTNLgrMygRdOogEdd3TSg0gQdrdwTNSTLZD7f1r92J9DBAexb6CQ6s5UUvVL3cO41D+1RgWSQH4PQ9aZRdyt+RKt3O2eYKMCVIReyccxbDOUquLQ9G3Sa2wsnJojGpQ+644BkyXqxCsr05ntBu72UwdxZNRXVCDO87+Qt1utzJPIx2YmNNFSV+/+Ru9kCa1qEXo6Xb5gpwcCfaDG509VaXanCRanCypjxLXOCufFwfdNEOyGrp6qcnDQLQZVOUQ3M9UpZb+AOmCqARbgu9R6Dw9Fhj4vAcxUa+WE58DZdWJyOlkauLi34HieF8kIJ/qEO6nVxMhSaAjTzkKDnedsPtBWHICkLb2FPckdTMeSKbmmcvofYB8JhejZu4+MGhtgKVioTRrmrT2XK/2xdbT8PqiWJQghXTiRsrAbLGt0nQyTnYIwfg7IloVxd64OrQbAYUhfpjR1XJf/KYwwVCkL0AEm5aTIQ2MmgAoV11CSNyWEoMBFDe2PehZtMJkeC15LyxxJrUfawPNfgYGKkn66UQdvt5hmpS/XS6t9txrzjPNmNSMgM/ukrDB7kOUUtfGLAfhslYq6SYn7ojrXnATTMCBBDjFT8+agnO3mJ2y6qZMT622SHqU5JySYe69cqrgg6J5mwoyaDL1dJ40Vh4kViZMIC3iltIpvUSBnXjZm0ygCPJYo6MSeraCUkai46usr/OCW0QgEfJAu3NsYiTJ0d51kNKc0XA+SJyXkOpPdpCezoMcgvLEktwYaQpN9AaGCbW/cK6eq3XMsFM06QqI2vPU0O2f8FWPZE8qGkdiyyTP4Il4VCWeD7H0p+SC8W49iwaWwJi8yRsBruPB4btWu0dGmc1AQDChe8+AJrJpN22eVHVK2VQziP8evu4NTQq2vgGPDbV45Zsu/yj3XA1seRagLcgPZ7kBvoVMEKop1vP1p+wYePt4avY83ZExpiZxWmd6qMqc+LWCl3jXhiNie3xgpUA0qWyhLExtvWE5xgWgzksXeTs/KuV5yNinmSAXr5BDd16sDppo+P4LDgTJ/k7ugyQTxVM6BxqID7NJMubuuVC6vklRatMrigr1GpYALgLObWu1BGwwO7Ed/VCc6IwqI/U8s60vwyL+xmfQvjmWna+jbfHcbOPXyHtkaHlbBZOc+VuCR7uGVlRRriAurjDf056aBzHiADp+ztKSJlEGMVtPIWwMuEO9KaMeSB/z9+DLWDx6j9I+/tZfc3HRUZI0dN2p6HZuBszu+rziWu5kidcnkm8MdZV0slJ/LKSTbNQO112nFETfCuMQAAfLpfNiqP4FYlm/x8wfieL4dgZCUzNML13POjf8ec9QCpPY9zXUaGKpKB5/q+7zouFaWAWERBpHHd7D5uarNP4AwTwDXRlpLltCWB+p4GGXCqNGBcBldwYwm2p5hdeknH7p0I+7H1lJo7MHClXK+MKWkDja5obqHq4cU/u0zqrjt5SJsXzs0VIaOHKH1lgJ6+rT4nUwTFAoXCEVQO4u4hDHFp70xs5g6mWU83FOh/S5LzCMbQUY1ow6N3MEZDp8K6hCH+BNF3gMY0zuH8veBWn5hxsghPZWJc3emG4WR6Ff4Vkv6emOZ7etaMQB+9kXpsZ3DT3NmJAiiE859GxO+rXVoAc3HZFC+Sv2x9uPfVgFP7qKUQ9WKy7ucB9Y5hnHHfuIIFKMv3QtuvPYo6zF1eL444NUN7nybjuj7+OFyPu+h4pe1twwUWtaIVmA9HdbsVPMSZuaENYNWkkuVESBW/Wh5sPr28D77OKSDCf+csdrmkDXmzLCPs5CGp12nGmbnN4iwtjaSRWr1JQfJ2voCpXUyT3tT6Ajb1SuNutxXTAelHJoL8F4hTCg2Lrya5Q6AyU627yYBHjKlaajFbF7o4MchUtRti7PiuCGarFFb+MX06iO5J2bs7pCD9vE+jNbhrT3mlCiyPkRrt55OkOCAh1nf6IGjpuy6olDt/HDTt3xZc1fL0J+CSeTEF+0OF3+/Z6iUryvWGFEcRgvcXMihvSk4S5f5Q5sxeO4WxpBAcmqWhbpwHCBHgkjJe2tPLu7z3krKMrmpV5tuJkVcUDNvV+v1gQQeV0Ax294xLs6/fjK+LnI+5ofslXydhl4Tmwd+wV/O6UmN8lhRPHBekgaAqrun6EZMjy0QTmHJz4lqitdjqBFwRfz5XSDhMImkVKbsUW4LmeFaqESnUm0dd5pn6IJI/64WNfi6d8FTawKMnvEtH/VMkimMA0kHFWlghjuxLxhY9jtTEcQXHSDwy36n3Xe1msK9mjEoMdIM4eScG2PQ6AXR21UCfA8J0qqboHnAbCFeCt9e4tu6Jd0PahsQx76IBXnOT7s2Jolqg0eXYcmf/CCu8S4mEC7J2UVQ3dznwr+eme5XJ3CXT4+lqQ+7QpVaMIn0u7jkN2hb5HPMaML1sQpSZFUPDH2eXTpfpbvTP/R1LLqU27NFAzfA4ix9fodJGhSSwIKAcaKnKncBsr05HFNX0m6jjWI7wjlf9RYGyraK+69CXLTboeBFBKGS95osOuhFPD1xBbOPhadAiluHuqwEcBP2wlL4WRgcKNE9UrKOsSS6s6+dg9x19l6Ad1WV/e1b1m8+7nFhOBdi+4OOr//c0GTzHuPNGzqYyfv5JO37O2IWS+UbKZGKwJptAKKWmCZABZ+Ak9nI9Rs2j4bjx8alBOsCR7vcguKm/C1RyD24O9Hom3rcL3vCFwYuKnSDR9TTIVCXSnY9zMOf/LCa55nW3ScGEvI0DtJQuLTkXi9UHG+WbiCGnbCX/xALg6jjUmcRAm5OkspeHaOwy57WM4CLKgoRmI0GNkrOAWcpjDuK21SsSPAZIa8VO4wnRX9lxcEqQNj3+1tq/RnYW+Z27J3/kFr/2kSOuOz1ButZCZMyOkDMN069IJwzz0KFw48JxACdRlEagrnivApmUi1EheV42yvMqs6E4nSYYYtQ7ECXmuCj2rxsCumBlTZWmkJHwozTMKqJMixsNbgmVLWEW2x/WH1HKLRka8rOPSKJk0ayFg6AOr5+c75zjDLStasccLxpUVV//5nhCJQdDB1ucQM+WN/+d4xFoIsT+gL0o7z2V+HHFTlEEkcfCL9LKnJDJK83jiQ99//d9SRskXlKjMBoW3R74u3SjqQx1LZTtGRKMZXyAlcH589LX9f3olL0sGV1fnBzhieajRWvFthlzhCnnV9o+xd/bHa5Cjeocft/Ehul6K1NfK4cpA5rdygFvemBmLnSyIDQgYEVLIUXDUV9H1p9JDoWVaGPwq7rdFbsP85iqn06hA2aUB6zySYa1dk/5Z32T8j0gWZJv1PWt61o16CLDJBz1N7fGrHXFmzRTvJq539nAGDaP9IxWCodEdKM7TQIHfWA/iTnu0AYdkkvHRCGInVCuwZFFIW+Fjin9ZFa3G94kZW26u9KocYmL2DGzh8UxWWmP+vP0QSPy4nugiY7LAG9wlETWQuTgHMcxRfKJAEmSlVYtmJpJTjzFugmRLhjErhLB9DOt/2NispuORVDzr3OAt5p1BLv1umHOLQ6I9XUcoO193o5+r8IMJ1KWSJbnJmS8r08xgs9E56hWBSdpuriOUsJzEZyHYqCnhdcexr2pkE9FxHjXJvCNP3lqrzF8T+pH4TMVWWtm2SVNC7MqsouBEzPZz3FU3kOMybBMjVjLNVv0itd77oEpS75aKyJLXnLF8+jQZxKg0e9vzW+5059pqzZqCObYOiKk4XZFA+YAl8pOs4q0kqQW8jpgtCNXwNKHbDJiy7uaR8qIy5NKTs6m5X4LGNEYB7uYMFAXHQVcQD2WTOzOcLUCFWnsezdPO2EX4dhnaogbMzgaipypAysnMaX/pLUzASLY5MfzP6Ekeukw3XGBt0CXpNeYfNKXvNr13wr32Bmjp6MdWNpCsBLgx8VkXVVhf744x1Kp7XFIjUUwvkSDTO4Fh2tBH23iNZKiMMKTi/dnnjZ180gUN/h3Gxz2RdnbqqxV6EM+wSvwNE4pAu8hOllPtcQaxGw+awTVTcYKKxMHlyxkDo1uKTy7jmu0AclEmvNOslGGsJt/pkR298LF0QTe/o79gfoIfdd2Tr0Bv5y15/nZ9tRiqZJoZbtmGzhvRS1OqD5nib4pS8vsG9avcSXV/+EbfHfpSHNDs2aK8Dg+P/6MdmCJkyi6Wh/xtSkfcwvFXiQHfZSBJfUipfQdWcD3Q3drv8m0P7wo5/1v2ubRqdit8AGKCj5cUJrRwvvn2P+jvm7nqFzTsjq/YeCQ3FiRPZtwgFrGsLUPW9hTVWtz8eTN1JErN9EBCKzZ7PNDlkRtWipoPZSMX5bLp2c3IqSwk/HwJ+qUQJamvZ97KyrDrFktFhEGoFas6+AHtRelVV/er5bJ4RlbbfDhfA+fUgPsiki6lcoLEXZX/6YSdCmAFzMda10m4yNDVG9IbddUAnoqNLJaOhvPql+z93O2Za3/ATu3zVK+LraKpWRpE6YAm1D6JUh2kd9Z6+AhLTSX0VM2oqVsSg3Abny+RNhnAGDLe8MdsazX/wszG9q4GnF97afapZXHovEgh6YGqGPUh+beBqIJpJC/SJyB8oz4SdB1Id4/Pe0rf6H+X25u+qxwLZcbfqERd6lDMRRjLM+DhDoW9DJQZQ/7p/MJS33Vpldv6avQPy+bp5yQG4tAnvIqYtLqixojbnUhOa5x2DxTdwi9SkDijnhs8klXUK1aMJxL2CIw1XeqOdQCTB3WLpWPDxmnjAgIYNJ1W53y5GIEBgdGimEx+w9AoRY5qnQi4CakIWIFFW40Ee1BRTGhE4mfdGXHBWopOsdS6K18X6lHbovhVdI1rVWfHGpWtADr7HnzWoaZ6JARI9O+T36ZRBS9FTZz2DX9saV9KssIxcdHCbzTv7JkGIGGMBV98183aBY1w52e9Zfm41kOb2mLSmQRL5DwldFIzQmISpj6lyMPHkzJEWTwvXUqAWU4hgFKHj7K5P0Z8a9nBdDx/C8Z+R+V+EmP1a/Hm3+4i95DkkpvccOu9wb0XsCu4GIuRC2Iw1/KplbfQF729IVVlcaptN7oEECvopNmq03Dt7MaaO93Qwn8s1Np4AOqQpy61KBbmYTaYAI67d748YbsXJ+KEEjmzOJy3VxJHVEf5yXW984xFyMxJbTU9IgYoUHjam6+ppycvsZg9qt1jWW5i27Ipz+tnnGLLNmihfOMRphKfy/vQsViNu/S64R4gRvaBH2dqXBqM9iAuiH6Ks+x6MTj6YlEYCAwgTaBtBZJRsABBjC63h+BT9r6Zbr2tfOTDXe330FymT4AY+vkBMAtV4t/ADI8c4pR8Y6dqwOnJXTiw/xj+Zixx9qFRwKdSjEQRMFG5NtR+SPrMBSK48z1jbayMUQzR37s6zn33HBhHNQoneZU2A61AUskyaHyhv5ntW9er5EFDC6PR6UmRe9KM5nCgyDRdW+kNX6118Ngv4Ppecz9Q0WV5YerNsRW1IdBR/D4I+juJDhdWdjomhSBWlDEhO7I/vJm4j6xsXkvBkSx0KsLAnfSeQvL206O6GVvoyFbRlAE3ZI+L9BY01SoAzYjNZxpa4lFqw0yl0ReEFx0js0qrLpt99DHmW0EKrkQOVI0bfv787MJOksBdXs0hB216Doatl0re24FgJBKJ/TJskC3ySHu34AboVcfdz6rdeAhQ4dYEUoW9grD/XcMV3HULR7q6mTTzSilPO1IUd2l8xiHhPHQUybBkesghcgi7JLoodeGUEZTkZyVf3SajNF307qddWNpOPaZo/2zFxu2chp2EI9DUu+DFPvvVDALboapj6eus194G4mHw/p3amHok/G69l5ReW6y7BUS+L+foKqV+msF9N4JrRzcushhSZeWQb3xbsNaG7P28Lje2eRosKZW5kc3RyZWFtCmVuZG9iago2NyAwIG9iago8PCAvQmFzZUZvbnQgL0NNU1NJMTIgL0ZpcnN0Q2hhciAwIC9Gb250RGVzY3JpcHRvciA2OCAwIFIgL0xhc3RDaGFyIDEyNwovU3VidHlwZSAvVHlwZTEgL1R5cGUgL0ZvbnQgL1dpZHRocyA2NiAwIFIgPj4KZW5kb2JqCjcwIDAgb2JqClsgNzc3IDI3NyA3NzcgNTAwIDc3NyA1MDAgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDEwMDAgNTAwIDUwMCA3NzcgNzc3Cjc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyA3NzcgNzc3IDc3NyAxMDAwIDEwMDAgNzc3IDc3NyAxMDAwIDEwMDAgNTAwIDUwMAoxMDAwIDEwMDAgMTAwMCA3NzcgMTAwMCAxMDAwIDYxMSA2MTEgMTAwMCAxMDAwIDEwMDAgNzc3IDI3NCAxMDAwIDY2NiA2NjYKODg4IDg4OCAwIDAgNTU1IDU1NSA2NjYgNTAwIDcyMiA3MjIgNzc3IDc3NyA2MTEgNzk4IDY1NiA1MjYgNzcxIDUyNyA3MTggNTk0Cjg0NCA1NDQgNjc3IDc2MSA2ODkgMTIwMCA4MjAgNzk2IDY5NSA4MTYgODQ3IDYwNSA1NDQgNjI1IDYxMiA5ODcgNzEzIDY2OAo3MjQgNjY2IDY2NiA2NjYgNjY2IDY2NiA2MTEgNjExIDQ0NCA0NDQgNDQ0IDQ0NCA1MDAgNTAwIDM4OCAzODggMjc3IDUwMCA1MDAKNjExIDUwMCAyNzcgODMzIDc1MCA4MzMgNDE2IDY2NiA2NjYgNzc3IDc3NyA0NDQgNDQ0IDQ0NCA2MTEgNzc3IDc3NyA3NzcgNzc3Cl0KZW5kb2JqCjcyIDAgb2JqCjw8IC9Bc2NlbnQgNzc1IC9DYXBIZWlnaHQgMTAwMCAvRGVzY2VudCAtOTYwIC9GbGFncyA2OAovRm9udEJCb3ggWyAtMjkgLTk2MCAxMTE2IDc3NSBdIC9Gb250RmFtaWx5IChDTVNZMTApIC9Gb250RmlsZSA3MyAwIFIKL0ZvbnROYW1lIC9DTVNZMTAgL0l0YWxpY0FuZ2xlIC0xNC4wNCAvU3RlbVYgNTAgL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9YSGVpZ2h0IDUwMCA+PgplbmRvYmoKNzMgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyOTMzNSAvTGVuZ3RoMSA0OTczIC9MZW5ndGgyIDI3MDMxCi9MZW5ndGgzIDAgPj4Kc3RyZWFtCnicjLgFWJXp9wVKd4NSAkcJaTh0SJd0d8cBDt0N0t3dHQKCICklISkh3Y2UNEgK3MP8Zgadmf+99/F5lL32fr9vr+/dsZDyuYIyg5CJrRFI3NbGiQHIyMwDEJFV1gQyA5iZWRmZmVlQKClVwE5WoL9wFEo1kIMj2NaG55cIEQeQoRMEEzV0ggTK2toApJytAEBWAJCDB8jJw8wMYGFm5v4r0NaBByBq6AI2AcgyAqRsbUCOKJQitnbuDmAzcyfIe/76EUBtTAMAcnNz0v9xHCBkDXIAGxvaAGQNncxB1pA3GhtaAZRtjcEgJ/ffHgGgfmXu5GTHw8Tk6urKaGjtyGjrYMZPQw9wBTuZA5RAjiAHF5AJ4IEzQM7QGvQnN0YUSoCKOdjxfw5lW1MnV0MHEAACWIGNQTaOkCPONiYgBwDk9QBlSRmAvB3I5n/BMv8LoAf8+XUAQEbg34/78/TDg8A2fxw2NDa2tbYztHEH25gBTMFWIIC8uAyjk5sTPcDQxuQh0NDK0RZy3tDFEGxlaAQJ+CN1Q4C4kCLAEELxT36Oxg5gOydHRkew1QNHpofHQL6zmI2JiK21NcjGyREF5SFBUbADyBjy5d2Z/rxeSxtbVxvPvyxTsI2J6QMPE2c7JlUbsL0zSFL0zxgIhPKImYGcAOzM3Bwc7EAAyB4AcjM2Z3p4gYq7HegP5x8whIS3p52tHcAUwgPkDTYFQf5B8XQ0dAEBnBycQd6evzp+t1CAQIAJ2NgJYAQyA9ugPD4dAoNM/2dDKsAB7AbQZoYUIBDA/PDn7590ITVmYmtj5f4Y/scd/8X1b1RY2NYN4MnAwg1g4OZgBgCBQA4AJyc7wPv3B/xN/S/af6AKhuA/0/rliZI2prYA7v9lD/lsfzIAMLn8WRTUf7YMDeC3VwCY5GwhxQwCUD/Wvg4zO7Mx5C/g/+8O+OPIf9X9w1P+P0v/XymJO1tZ/RFA/b+IfwcYWoOt3P8MgVSzsxOkM2RtIf1h869YddD/GloWZAJ2tv6XW9LJENIjQjZmkDpnALIxMrP96QA7ioPdQCYKYCdj8//V0p8O1Yc+tALbgBRsHcEPowdyjpn5n05I9xlbQuaLI+Tu/vCBIM31++2K2Rjbmjx0IQs7B8DQwcHQHQVyo0CIyQ7whPwLaQyQ2x9lDmBitLF1ghwCQKh6A0xtHVAe7pgZwGQNtnF2fED/AIAAJjvINdmaQJoe8kkgH/svDwsk1NnKCWwHeflfGCuAydAREgZ2tITcp/nfOBuAyQQMmZGgvxH2B8TQ2tbG5LdADsjrrJwdf8+B88+kHjx/g1wAJmOwg7EV6DeU+y/0HyyY/8b/mTKkP/90/SNDIMvfDlunR5T1L9T4obp/cUA42kImqBGk0kC/wBCi/4QgJEH2zmAXQ0d3azunh2Z59HH+5bMC2Rj/kgyErgPI1Ark5uhs5Pjrw7gfHZCL+tXFAiFtBSkXyPMgffU3CuFr9rC4IJf5uwPC1w4yV0EmoH8egXA2tbWysnX9pwPC2REMaRxDh0cMQtjQzs7B1u0fsQ9X62D7kOPvDFg4Hx3/ZMD1PwbWzsaPJQKZcH8R+A1nZX7M/xEE/p36IwYhCukNW1crkOnju1hZ/0T/N7H+htn+hCE//42x/4mZQDbKI8rxJ2pk+0tBs3L+idrYOkCmHKQ7Hl1cf7ocbZ3/6eL++8P+/hXZmP96tZHVb+mzAR8dvzNgY3n0/EKCjfUR/o0HG9uj4zcqbOy/UnEF/ZIvG8evVH53/Xm9kDOQwfYrFa4HB9j6scjZIKzBNpDtDXZ67E/IrGMCQfoWMn4eMQhZSBqgx6pjh5CELFHDP4bu3yDrIwi2cXnEIQxtQGZ/iDxHK0PHR4qQMclkbWjn6GT7CEGoOduAH5beL8mzP/SpGxgy62ycwL/iDxVra/awyWx+mRrsEGYgSK+7/1rdkC3NpGTqYGjs5PxIhANCTfJfIISdlaHTw1Z1sn28Qg7WP4YzZOhAdrTzr03I8XCHkNH4y2CFMBN6tCCkhB8tCBmRRwtCQfTRgmQu9jiJISmLP1qQXCUeLUiSrx8tSG6SjxYkH6lHC5KL9KMFyUXm0YLkIvtoQXKRe7Qgucg/LgBILgqPFiQXxUcLkovSowXJRfnRguSi8mhBclF9tCC5qD1akFzUHy1ILhqPFiQXzce1A8lF69EC/lEyto89xc3yUNlOD9PN2Ok3B+ufoX/spUeY7e8yelDQf8Psf8O2j5fNDUkaUi02jk4Q6f3bUODm/MXz+1TghrAxtbK1dfj9APef6O/BD2KEyRgEhqgQs9/igczAvx3/PAKhbASpY9A/DrD+Cf8z/KFibcweXJYgp3+cYf/V98+DEPZGv5Q+kJnzDwAyvX7BuH6ZzS6/4Ny/z7pfXA+SwQjywt8HBPBBLrg+bB9zyFAzcTb+JZMHweBgaPKHin0EH/SC7b9jH0YQ5Dchw18g9v/ViJnDb+c5/iwQR/tfQM7fy+k3H4Tq/zaso/3vuwP4oBX+2rH/cj6ohX9WJ/BBLJgYmpn9MmmBDzrhf9hvn/hBJNgZOhhC0v9l7AAfJIKxlbPRL8ij9PsFhNCErMBf9dSDLnC0M/xNkXH91+YGPgxSSOSvculhjP5DAj4M0f9DygIfJum/leEfU/S/5CyQg/1fghb4MFP/S9ICH8brv0Ut8GHO/lvWAjm4/1PYAjmZ/w9py8n6f2vbh7n73+L2YQb/h7p9GMb/LW8fBvN/6duHEf0vjPv/ReE+zO3/lrjA/0vjPozz/0PkAh+G+79VLvBhyv+nzAU+TPz/1rnAh/H/n0IX+LAK/ql0gQ8b4b+kLvBhOfyn1gVyM/+fYhf4sDb+pXaBD6vjv+Qu8GF1/EvvAh82xz8FL5Cb/T/75mFxPHbYb79JGjs7OEC65I/f/SHy4i/7j//cAYHcQMYos1O2xryBFh8CWy6rhIhdGb4NISyvtoXFanaHsjtRTed6mssgpkuM2QsbmFQQfElRmCkNHp3yIqY9uBx20+nI9FtKfp3jBCXWvS58xJDXf3XaYQYiNbElMhvhTAlbxz6MUyTBNNCG036ZoD71M4izk3WrcrPwts1xS4v7O8AaUHyO9TyZ2ClKKLvtO0yE5nOKVacBTR2saBwH7VRnFUnVkVuYCHD0hXBLJOGV+7p2dNrA4mJfZk93CutJvnTXe46KYFxCPA+p59lf4r/Onr+IUCz1olGxg/rZV+TXpsLneHw3wYfUzZGA6wvbTkry3JJA0X01yIYWvszKtKzZvGFDMPZ5XFlWtIx+85zqcbNlj/tuE0JbStJ8PIqxyHCCNNy07slKF2rM2IbzHbrpRBnIn8Ckd9GiPyEdDlluN4CxgnXeA/sgSlO/6pvI12104GTgRzf3mt7atzo97OFCbAx2FagpHULkwmTbJaPAG3TYWFRupjmUpp+UO+JjlGRPMLqTttVHPTYo5l1qgRwGwaeuH3IPbrmR16/ZvxEE/wSGhXUcAup/pGGScHc+f3lU6NknTsZze+mdMSdtRfLs1hn3eL1rPKHtwqQsAJnjqdwCvUuKt4s+sqLpHUkGXOpAbYW5EdkCNeFwMDtW1Zsuj2H7YiHRyGE2ZRhajK8d77fm6fYMEKrJ5NJegQKVWwlhwAv6yMRfFVRTeeSDM7xOw+/Trkawk9/XtKOaIH5zpB7pqpD9xtxXgJKKf/qegqs+gyLNuhBLSp5+uJMtApf6e6BIFHoPr4sPZ38cP+3G4hS4dU/YByw0MPxFycGzgY2EBxckED88NpdTWp0jtcOL4KpQ3kBmj6hBBPUkN6rhybpWdGzd6Mlyc4slryifGcAqx0ThmIIGwyOerpa/jFffD3r3atLOJi775scJ5nrgW+wSci/GH7mpipdKWggwuY0JH1J24FbbL40kcSdZ+tIJamFXEZCmU2CNjfrSQvDpgN5L5Of7JcGtErChpvtDdTMB9ixPlM6laACCL2y/8e6GJIiU07PvUUdez6z3oLJ3+DQH3eL1C27TQQN1ZzbD1tODnBjiWWHnCotO8a8cM8eTHCsbmeBebqeKZHBlh5WkLU6Ods3aIwe5Mi1eIeUGHe/npxzjGDXACpyE9hnvws/wv7+KK4fH4QJjjg2SGNXv+AVpjSxhX6C0TlKpJNmNXqTGjwFGU9DIMS/dp6fwZoBQV1TrVNcaZfice5Vx0p6ft0Ot/HsOPg+Hems1sV/YKbENZD+HC/yylE1bpOniiiT5MSlOnlw+Uqj1Q93BR/nyQvwXvnP5jItw2XxeUmW9OlUeBXaCxdHvXUrTyjCHftyujSKkwHWyIgRJ3QgIu8fui74R9sYHvTZQV//29DvIntMgghAxox71PeMTszfdr82uI9lV998s9GTS55k12f8kD3JcXlPwlmViriVBIT8IeInlvWNZ9hK9HQxeu7+EKRjWvBMiJsTgl/yExybUmK1UDpMPXBYGS/e4wFl7spShsOSpsQ9XWXv5tq2twaWWi2FA32ZukbwNgM4i+Rxl9GFWtfZnOvzO7S65iu7nnkv/ly5XbLSa6kjOoztQe1smZydctxRtDqBA4sMb0hPUwV1TagOtu9UXhwJKNiwxz6eJXKt4GoWm/Kg9IiM4sGFN8Py2bHzYtS01TloztcF4O8aqrZp8h36BRK3Llqkk2AYefhmCUOd+p5RNmD/YCaW7J8/vZkoUoD9jJXDZLSUWMrVhiK2C8EeXnL7myA8In3K+hsMIlmpAbDWibsKfXAF4cN6k2XE4P6/RqiS5a3Aha0rYbbFHMNKXyzJCBy8T+yKCX5V9RcEr7Y5bebKJyX5dzYKKFRB2gMO1PgVCu8yv7rnjLQ4eEVz0VCetzAPfhwjr5mKLfHDIumob0m+Ci027b2HYnP8eTCrg4gzrpSI7hMplqni5PNpN5rrpedi4imZ30ZC5pybsK4xW1XkXgGpA0zB+QQt4R4LQjolUeKdagYwPNteRUEzlwnVeIMsVVfWRjijongovSf1Jop+Yzdxj/HxJimG43OvKbYk8B+f0iFHL0+Pgo/vmyvTWl+5iGcwAd3aHXtP5dSXQyt60qrJgF7zFi8uu8jTi5xWkgs7WJJrajeXoemfY60WhYVKw0D9r1Im7SmQ+Pb2RZqpmpe5z0RAJQR0QTb7yJp17YjQwS5E6QNz2rZ/0aRdJnoDKzvjYKfvrGbned6m3gYi27LOKsPJyPghxr6ouxVCz+RqTXXvbcxIk330lIlXQEX5GyW1866K3RvY1JojYysDBPIvHl5XtgnVvh2VGLtQaKSlJE0MjtrBns+1OQqlt74I5RShE4AmWkPC3QSlx1QpOkCCahfjKKdIcezQsaxWtENA/BfHynZ5dW1p2pq1Y2m5WFTwSFcvqjP5FMMrdx4IWdkaspXTkNOXwqYy24yg+Ri6crvvWova0oR4ys+Ig0sCB+09hRCmJ++FXAx/s1nsjk56pANop7wqk0TVrmUNeTGGZZj+HAhRp3lpZfaI/UJ6MFn9hlf+VSIqP248un5WCSwuVDkG95T5b+fL1p/rzZvx19592fhM8XPeCPZ9p2ArUvnuwY6cuGEvwjUt/0aWLI1bGRZUzhhIUS2/c5dz00G57p/ny59n0uQDHBQGW83SL7UHWlzzqdS01L2/tEj0tWUAxjYW5e7600X59qpJ7cEzu2mBqaun7vQY1CnVT0obPIRsCDe08qs+zhaR+HpssX/Oz8A7DpAe305Haj5pgbyy+kL/p9KWi0nIHPVMr+oHlGflayTsy9PXqmZeRjBcU3waRjvLaTIUvHSWJ6arA23IU4HBEhxQtgtJOKqg0s6CacVyRC5AzEdmJrneSIjBdNe6jg3o471x4lMVrOOigT/MCoJ6hcK0Lf25rupJh3NpBJeZlClSJfuNsThaNSji5TMlI1yS2EVIugEy6iTjwMlLTdORqQO7VDO5wAGlOBfDpTHmzhWc8WsHCFRtvoXOoTWJTbG5zd0uak5m6aP9Ths5+nJnVjA+nrQXHXi5BjK8OUYcybmpa3OMZlAg7hkbyD/ylpQ4jNo/07y5byxR/FDF18Eg9CfaC7jQSDHnG+eFeSVk0HeZu1rcONEVvhY7aIVmgBi3dpJDycpjknPbsJIj9xxdss8EgJKQU8Nc3ivbv3S9ePg+mRbVq0VxwN9TVuwtruOsmO7wjaQSPfi2gGUv2sdOyF+E42tINROXMY4yHrcOSPKJQwjDlfC9dLjuiUGPO4HlBBpLuNiV8oWojNuhzOEBoyQ6uBs/LQdflKR0rpxPWdNb7ums3w/lbzr0KsteAyXnHiLqUuKezJLa+cN7uP39qzTfuiatli8ixTsm0sEbwXbfRlZ/h/S1JhbIZac0Mz0tdaOIfk9D5DIIeK/HqQ89pPA194ERu5vJTxt+YvhOxbogQwnDPhSHnQfcuJhwsnZPAY9FS/ILall0/XKDUTITCdMmB9SHPh/A1RnzQqjraz8Y9HxIwkYMhCav1tx4jCxIShlPjvGm/+U0c9uNRX53Otz12UPqBt+J+ZpcmqDjxmacSyhGJ3znnuGNlJYxn+Z091mp7nWejyZtS+dnTaGlo4VJAonvi9MVq3/Y4D6I3LI+7qmr7cZbhK5+wD4IEoaosh/p1My31OS5vwzFqiGA6G42XPsXst6hPXvFRwbGQFRvYjcrvG4iSIqdlxBbd2CtLaPCwA0X8VAWBLRubWzzjP5sN99FloDWMsTNJEvVSiU5PI/2+87Cj2BXzVxkSJuvETn8vBrPnfFl+6yX7EXB5OpvpmLvsgzX+GQtsbZb5qTKAlD/t7ryd6xzcHU1af475I+THntpTmkPhFLYvoRZXeO/4Ldvln08LEMjkMfjA8jI/IyB5gkWUavlRkWWubcW/GF8J7UqvHyExLZcJkc+7TcjBUvEnfClbmLKktsxSFEpMJNxXj7aaJigXHt+T9TpfSYnN2HkeT96ez+FmPyb0dUAxe/fU7qh2CUFjsjA/edFy0qvknka8czsK8M6YgOkovw7Ei5l5QgGNNKRIqnATbXICpXGgsrEvRkA02+zqfcAK+zmN9HJPrb7Tbdj4vPM+njmc8uP7ebGgt0jlArAzeVqA+/W0pQ2afs3LmuVlP5FXQsPvQkTd87vJcirLJhs+sDB/TCK/oTRPfqsV+bpdvQR9S+xCuZaAp8w2sPZdOTIm6yA9kMCaJByGoESOMGTGMpMDpolGZiznYFgoROnVD+xbRLX46nbfovwXfk1lciXQ0+p8SPxMNksFEzm79/SfUlNgt7moN3vXKVTDbxzXuWJQMSxS9ve1kpQXWeebm07wpdRo1xoL67dG+WPvM7xBMMAvVwev5+ehKtdW7j5FmbkdZ7Y0uligDGYMU2m6El+nDHu+xS4o7vtyEJbK/Y1yjnHo3Go2Z3gWpgyLIX4o/WWicpPTYSTaKT12IU6uzjU9gRvrZdCp5sIu2wHFDuYbLA/y2QOqzCfFEnG2al2UIhX6frNogY3Metp3x6c1asPftd+plEEtZNrC1r4f8SgcJzThdKYsNrxpEBlPM5F4/8ml7zpE+kuNUxW9cngPFZRc3+oOLLrB59yUofcdIo5MDSJYSCPU5XtiNGfmKYCJQw0El4Eg/bvFHksvkiPvxuydSPT66yJVoiVZM2nFjfVraYqCecXklWdWecu6pumvMLu9O364dDbhTS5Ri+O9Z3FZz3uS+SlKUNjCYLt7UdgWF/EFQ1l4ScSBaqcPFTQQcKNi/4V1QL5euLorGDp6fUJYphD7LHMSPPSujuhjs57p6ir/5GUbRhxdxytP8lU0OHrWOUKQkcm0BK8cGl/5qnxOohg6Nm5f9B7ByIEJinW64Fzm8NSeHmMOMbt3MXtXfnc+l9NGcqP5LYzBOCa+b0h4LGqssQcOZw9fAKuWwESxCcszuIiTlwKZUutPSckQNnf1BZ6M7Iv0vFiZXhPbvwk2Tl0+2UsTd3LxfMM3ozzAbsGB2PspJtM87HuacPkG+DCUI0T4RkfoqyHlGBzjrpA0m1QvwV1lDRIzkxpiu7lSAdqF2xjHXuwAVoKMUc5kaiy+kcn8VUdlDY8B9cdD5CrLLwQMRdGDZXKMZM24wZGpw/U45Dug6E9QPD1OCRoeT2xutvj7IocmdTKxhn4qXZR8cJoCztdN0ZwR9bkgCiXxWMb27GyM9abAdGfvLYBmEgPwp9yQRlr9knjGqTkLGZs3YlynakLWHIL0VN6NM7C6rqZQ1DRzotj3sHYVEsGT/3yefauM9f1V3c+Eo6vNT9VP8Nc+QkNbbS+KfnqribH0NkaJ5n4+YAMaVsbfFjZKoyNbxU5KjpGjwTGm5xL9bIZWKSjoleSVeYIxNyVHVxNlO6pb0NYCt+JO3RgFXv9OvkmSzOD1ZcsW2v3EBRUVf1uz3SStRs1UK0yOqpYxurmXjz1sX+NJDX8hPsvUzZvStMFcAi3cvlbffBfaj3GZ/DntzmpNkfaStYPaGvPbwinr22M1YnGzP9+BMjFXn5xKNfl6z4pivY9RpiDgYry8SMV4klrqYRhv6Zszbf/BXQe8WX2sf3QwTnPjLlBwfaSBAVmGVasteNC7ClRh7rEjyFfOMObv/RjD5lRJO6TF3DiGuL6127sXHKC08gT1JLx7S1O0EX8rT3z8klJFvsXvOh9KInCewz4QqGPetnNTPRUT1/81lriCd07+vhO2k+WlhaTe8YdGJo47Dnsz1qOdhOpERCcZBEeK1rFJE0LX6jyC+UZRLJGUK+MBRuiGJzqN0vXCP4E6MDEbCuTsF4ali20XFavl297A94HhSkGtAdT7/OG0BkGxc9jJ4W/bZ6BhaUpXHco6e78iEOPtV2AL37XyLWCMQZGPIDTjWQpoFOelLOZ9oWT9wHF94q8XdWfXkI7MNZ1s0jFmKYpzi9VrRvPlBTdjmEsyStvXXD79xd7uzp4XxHnXSDCoobfpucMR+mPWGsXurOm0m46I4o1CvDbwHPiqN8dknwpTZDrec+Caw877+5f8EE542ej89fYFNXtvuT9cZmtxBT7w/KvFWD7USxedcyYf6R0lPFBJ1475/EjSSQ9jjX/m5vK22AFgezdswEq8Ce9bKWBmLVwQqRPrQsKIdp1MP5ajF7OI7v4oXLqcTy//0CZY7TJW4wySyXvmnTwTs0njD24vzNfUQs3PXUEoTmdPqDOb2peGLqlfK5i+Q2zHNuLbMeFb4g5EJXLMYN3n74Xv4LshxHNItdP8Bm0HM+b2NELJ95qRqmfyWbFxTeCPkbNiciZ989UgctJd8jQ4YDYBZtxcajEv16oNbhTDl5HDotNv72y3TApKT78bPcc3pb2lyqNIeFW9IlWuHM/zY3YxhZLjc6zUUxg4eLHSCkm4GbOOr+Wx3o78C4R7yKxxvBg7NkFuSm/GRwFSlKlU7IO5RBlYRIECVpw8n/vWs7mbcSstMPLs6tJCXgf6jYciTNDswPiSZa7p7X83wBnMbkLk8Mf07xEcivQOYsi+37wAT9+uLhqFGt4bRbQ3RR+/pLrkezNsM+Om2/INZhHevsQ6tOG6Y22eYj6FW5IzbxcfFsvtAPErqqp0Zhi9eT3FeCyM6XYQTAgF74Y89qVN0gLUdqaOxA/H9pLjIbQhKskAtt5xD54zMa+38KIWTmxiKVGRfJQ3+ewoIdHkS6CJ7Gx9v8TABeKgfbrlK/LnVlhkM2fYHaI80y0/djAXLcdS0/psavb6qFnunIuya67BtlTJhQprClISQPK3Y5Jq5Ydacz9qmtXviziE8d5hZFPojIiQ3IR7KMK1pkx+w5IpzVV3+vqzdA9Oo9UhzF3+OOcrBgM8kjFHLCXejxE/IWYvWB9dRuZ6hmfhWi7+LYlEKmIzeW/U7FSlJiopvicpyXw/0czShapcWqtTfhOcLv4JmSW5903wvppG1yLPx04NBSMp5XN1HsXeihyR7wGA5QKyNxort9c554Lz2qo3OnLQUpEKK0bHfOqvApWAV5FLTnitoigTw9lQN9wtCV2jfT/uepR+UldkX+INJcsedvtxUVcVhFettNm8moLRbCzCTPoC891cdwkuynEeziBVr9q6RHKJf9VI0X+/W+kY7pvEGKORAkmWXHl7EnBTzNOj+vV9U2+8I8FlW9rut3fZFttYfmscBF4MXFLxkrKbrWQL3SWJuAY5wToGZt8NGnlJ0SXHBj6FnihxuoYoC3JWlkgF0p8QqeKdvk2HOijgTJhiFtxjxAG2C1I1Lm/6YKCKY/D2bGLalz+DP0k6x/ePV21umoqy9tE6wJmbYS9OKDasSCNvBvX6fURSExwvAnoBGcZ7nmQ+mZkrKIrvP6stN4l4iiHNO7a+KKHqqI6pt4pVqT3wSjIJF4EMwNBg86UOaPv8SChJOvveWcooepDOHNFrCpHeGO1j4vMmPnSSfJn2jCjh7b06xqbcVetVAUxGcqX4XAT+8djZt5tBT6HZdoBXFKMKXdXrTwb7bGk7s2C+zkZ9D1juVcamXilXrbsYNSyUXXkiwbWEoGYqiiE+K/P53fPPTBwML2h1vsvvXLeH0TblxvDwNFi8GHFcF2ma0wlj1/J/ZlZM1X5tGyKMH5FkpMKBeG0Sk9Oegs/2MVvChmMHx4nwxAm8yFucN0Pl+0RbHHZ00XzwRlebKHbYy9IN9dMdjgPPiNe+uOTC1BRJN1NjArOuTPWsWu1bbj7aoQthiSOwTorb5CrcIM3Wdut3XPjFcnJ8jVahpdQ3Uny0MWtYQ75WtUziSUSKJ2JUZxsCq+E+xCJUStDHeCcaX7LORaIQZMZUyO4QGyW6bUy7oZ3Db/t7RAe1ryKt0aUW5YXFFmbaWiaTT40vxbNay35guyUTHkmvk+1oHidLTvvGCJdVqm0OJ/Sf1owOeRGZrfwM2quofR2cxcZKfJ2ZjiTYcDe6QIciiEinJJoBXU5fpg7qLAXXE5eJHAUu3ZNGXxPK27RFPpPQD03qWZzNHIiRLfK+hSmANUE0I+MrIdwmzB8z8zPbxR/WG1C4Iy3QLHI2E5/fNOy/PDOLcGHa9mToD99W3hrJpM0rkOdTg3ndHYKgPCXmqOGapiQWcKSxNbmQ5bvVApt7bWpHq7UxmN2pNyHCK+KJeCPLCW3Oh1blHbuWEeGBWX7BgKS0t/0j4rZLp4SO40sN2xjpmEtgAEmtANukfNBxOh1LL7VTmXX6p5Bwm1u1ZrmjVXQmKD+aEFpYVknC5Z0rMAOtc6NdIT9hGDrWKl9xlgDxKOYCStgB834YStTLKFz68EtUPEAw+W4fu6Tjt5LO9y/l7qu5UyzR4q65EmNekflwq4z729IRdrmnBHZwL1Rn0pOO6Rgt+fa5HC3esrrlGl7S8FTFu6acifFdD1kjtHdne8XzLu8Ke3iFiIkskwrDxicf7apl9A1YOuYr2shK6r5OfEpjJBwRp2X94wBRY3RM6ntKfGnl+OvsYnY8JK++6kCZBr3FT2xcJZ/GGEFolgDhqRcgW/skzMY9Zaj8JBGi+YCOlAHYs2NUKuede6dv4mmkLHQou1yXgggmathEzLK16UjvVvbQOmDIVCQY+wULdVrfz0/0Y6TkFSvlf4tmCYvttZGjrlYXgZVpdmeOcuJAFPM9iZzS5bOP/JaoeIB/+ZMbxEuQBu3KDh4wbZgWQ41CWEpKeUEYTqdQholalBDubxN1HXrseKj93Rl+3O3a2o2vz335w24mBr5cPgni5+nmAvVb59UQGz5ss4hM5XGrl2ZPunw7eKSqUtlDPkeVBp65GVCo4AeQfLjEXNcdLFcN801eRIE9EHGr2DFR30L9USoqELDylOV2irs8mQ7qznmrR0jTRiyGEMc+jz4ae9Uw8q7IsWLHUxvoC79mfEyogSPfDt93/vLNWZ0ivKqIx253o09kuS3bVlHsu9Va9V3mZHh+PZwLFtAZ15s+ZWyHIR+2uJmyWgpeAPdtiT/1/RuuQOo5WriQt15relZCutIi/OB1T/5loLfXZAxx5rzJnNNqMOpBY8J1nKWwXTLvAYOxfupL02al528oHSXFi/oPmq+88anGKVuF32ikNYBG8oLrlAtG68gAatFvME5MLrRLEoa/FAosIJ+hBiETppC/CD1+bTGi1+7ys38N9qMZ3ip6SAtsOp6Q7qdpLHr1UDwGqoYgeVdP1rSDUSZA8RlL2Fxz5Eu3yqzagMCnz/knCPPRpl190n/gmH9vw/4C2387snTHN3NAGg4nO8jGx4Vkx9JyOLXVhe2D2iT7jedScQAGodZa5y21pWOAwY8Y5IODzivOiBsurKNOZNezjm0vKR3mTIdP05tJi/Kh1OhjL7P2WGKe5U8sACX2jNfxkYPl23fG43mYoycVD2sBcvg6JILIF2YrClXYK0j1LVmFb1JP9y7qTPyD7VYaP4hWXY83+bzuZGOGOdKgoHjlzaH6jLbqbPLwLrUxJ69qHZ7ILTEw99Vsx4xmjXiQL9j3s9NP6pun3eDVW3pUaTkbOc6wcfF4yonhgnf9/Y7odZZ5unh2q6PtmL3MySDH2EuiYfx8+EvL2+OA/H3/Uf1BgTk9VYwzyWTCT4b4PDcp56nFVTMrw+z4ecwkzVUTH0YURIRBJGGe5F2pIDymiUMgtf6a1nMfU5C+xJL3SSFv18yu45wEy81VOcvLLVy9KX2i8qzz5cBi3JhSYz8kqn7AkbRA7VA+WmCdo+yiKX4AMCHsrbBDhN2VPNC/7t2gpKog/dqYWb0A/jgZA4sHxvwGZqC4QmvuKV4J2uLAbkYobmWve+hHwNIaPInH3Jv7gjX6bSK2lgDjIaptydGG9RjCvF2bjE+scU11H8qaeF0Ob5K1Syt7WMOSu4EK6qKemtHFsWdnqWVQiv3zea/wTfjhUquuz1PTYDrU3vAZMOOpDdPMWBAoUM62en+vsH3pwhCNFB+X+qMuz2K9aYBVsy0vePeJyZy6rXNEd3W2ubFxXODheNqdr7rd0YInWC5ujUS/wpouF0apX3YF9X2o7adJzLnuyQoe7xC6ERUEDPajJRO+lz8valzn1XhUTF4beoVBOwIrz5+PYUev3OeWJWvaHhR8jZld+/yuNzKF/JnxLJ7CVt1ZgK1KNTXK7DL9e2bUlmUraye6ZBf+9n3L+DupPqtDEg7+5rQZvg1o2SU/MAWmjyHdBSz6q0axupbT1+v4gtPJaSyFbpYlmm1qFE1f2KOfLupzDsbIgyMc4AI5Q3qipTmhY8/0g4XhS013/TffyyXeo+s6pcmjYfQBC7OKyjJhj+Lmb1/al6vpc9LMulv5u0fI1h4uwYqUvNPfe0qaeAEoLdRO0vhE8wzQ68S8qofp8Xn4mGeLbGMY/+BnsRaipcTbAIuQRjrjbzvQPWXJa1BVYbI/zF/z8RF0jNrz2YQ4nH1/jUmiPBvL0+q5mS1TH4Xnj+y34/3sY/H9zlPVLEw1pkYYPq1wSrMe/94MhbUJrS702VzrqprJH3YN/JpZcjOR27UowzBPn3iik76JGvCzpT8vUSwznLkRqBm3s0rlSV49y2ahUPHtx0sW4Qyfsq8/st+vrg8DRAtL8fF1emK7c9zeAeJUBGNomRTFnntYKp58vYAuJfiypAOg3DOlDEEqoNMmHflY5pmDIWcV4z9KJ2uuyqwPb6Igvvud8FRKw0xy6dzZvF5Xp5inBR8XyATl2GJEzomMaJ3wWuDEhQvX7Iefint/zmeGzmz7Jiv7SL8qlvvCLyt0RuUGFRVfKpSDvHCwcPxo1+kkaVt3BW1eAj6R3GAzo9bDHX1PbUg+Vbz8drmQBuBPWTZQOjRhb0GT0jVp8TkNk7N479EBrkak1ItnLsc+Pgzmdp8vGiEfWs3KYgT2EuDNvKNX2jlgojbJ7jZ9y49SnBPg+epjMarzdkziqEdtxGjMyfNcD+GKmCd2DiTasld6WHxPNAfUofX2rsXUhZUWiW2nml4VtqFNWb7Qzn7+KYnUKgHFOkh8O5tXw8pELCrhAD68iq3Wgxw4QMX2Y8tqiGHENpd3A/vUoEKbZZjervIch9R+3ShkIzOxy+Zj2And7SciK8yk17d8ImNzyXXFfMnVZz7JZoknr0tRnAtZ8UgEjcssdKyAP+b28Zg23dE1h5ppkwsxo7bAdaiRFG6v+hwOGSjVU5XU5I5IPpvYN4z2d3EaWFO+IjddHbQVHJOEakp/HTDwtMX20CopqY3XRNz/s6WrgmlrFnrAvl1irQcGJidQwV4autH8DX/efqVqJpyOOAHo7GdGXD6a73nD7BMC19dPM0flUzYRWvNRBkxTGoPrJohmsin40jSUMuolc5CQPTBZz6OMyHleR89G802BJGLGEuVoSy1Ilje/+7cOP3Xkw2XVy+L0PS/ncg0RNZV6Gju9WmJOtL7T4XUM4+9rkcgEsjw11TT/+EYOowj7rVoXgVrzJYYCKRvuK+QcBuI3WrG6S2n1n+kQr7u8pauZzcXCfZztM3AruRkl94MOVge/gtfhjqKjmuEDTpYAIs2l1+GqUtAJ0B8F2wSbf3hsTTwFBL3CJ8Ox6YvaKU+8i/iece8TaAvlaecqZkXAwGksuJtWuWZvmj3geipKzDOHfvDZ7llilKbtYYAlLHk8Ud7mFFXqV490/zba4unOVL9nafHwgRWNzTAfNvNCgzXl20pikzTn5LX8699xnBiieOfMl878bJZCbaOO9FfQxkgg/Wz8oRM+qtuKnnxMvxnKrdsn7dkQYZwb9XFGdQxKYncb4ppQ71Mf/VT6HE2a+miWA6eoItGfKnqvBoNKOSd7S56+/az6NOILNrkX6CpzT3dViaK0OirQZck1BEfLoJJPZEU8bnfV1olHPhZ/S+LU48mOcCazxDh+ZmTmi9WaU5yTgv71RVcR38EoRzO8AlWH6cnpuuRdZmEbCX01isZqk9MVhOGC0um1ba77fi5jEZ0kAh+pn6iAmetwy/AlAagKS8UvYzE67+E4Q/ZtXnqwlU6zDjeWNPOkv+V9KZdwk/hzxVOU+fMeldAmP3SrNXWI3mbH6CnOUBjNZ5nuKUMMPxdDkdm65ynYBBNl92lLelGompxmn+rZBzlMleiXEy+6BHXqRrmV4Auc5JZ++jUzp6h3f726j1IdylNtmj9gUhiiUd1kqKpHk4DT/p7lVbT0tlGywpLOWVOmzRPtGeYzFacv+9stCQH+XtYX1zh5RonLfV4IS9QubqFjpEGXZ8eS+NZlGNDOzUU0Pokj6UMozhqc8U/0+FQpEXXJYc64SihbgJ1UAyQENy8YmZ2zRV2Fo5thGmjvmh3MLQqTW+ffhpl6uoucbvqsJpJFh8pRKEmu4Yyxf/FqRG2uxaoI7s2YndV08XaGJ8dDok0oe+12QccgyWi77t8P854ouOdV4SHXh/p1rohsHihK6tdWby/HebfbvoRTZggrH6dVEG7BHh7b9CTVZjW4DFX0j/C9IlpkEq6wJqmIeF7vzdTM/vHV4I5N8jDfS8/gL2kguxU+nVBWbWW7DJCeRWK710oho7hoRAmZfKdh6uYz9zbn/dqZmuTBlQT6OhatmKWikKPx4Q6lV9Ide29Esza20RF4pGS7YSKLRwkkRz1DJ6CgOEQvkth8kXHJZiJjiE3gqo7VWz242gy0+wm8v6ytqVni5W3W4nzqUldVuXMvnDW51KDy1siG00EVHU0cQ6rHdlYyb9AfcemHjqLGpiYJNLNcVFKkiGtzy4Znwg9dw0WafSZf7JCeFPYNOdMvhlzE1kLb5yT/Zevr7e+p6XxP4eOX3KVKahe3GcjuG+qkGO5Mmaa10qg73rPRHDZ9UFVf0mGIwqdSO4Imomx2clzdUyv4VkADzuyuxpci8Fq4sudqF/JXmyg6naQ42d5KvUjKyrdU16Sy6FOhrFpEx0Fbe76JZ50vWVEcMYG8e27JiPGcyol4hLzaZ8tyg5YnlTLIfL/V1x7WB09oo+deMicLh3ESfgx+VE7+oy0mmPDCbQsdNKxsnpMC2/1imHVst/1rz9xbz35jlkTbfN8Bu/3uhE2/0gAGgRu4HHzyryx2N7nDUVTlg/LISqnl298C6zq5o6IE72G1apAXkdPshHpwbvnjsu7DZoXtSSvEK0I/Xv4oWc4tMslW5VIlnjelsHCa4UnoJF/IoffHGg0xyc3GOZOJhppgqtodmSYeYntzpx/RehQMxu0TGXJQCEDPSMgyygg6w8XPHTS5vGKxnonx1CcOOjU12U1PmJXNF9AqZj0SiMCxRG1RaX1/d5586dUhDiTo2d4zJOwTQyz7pLz8IZlCrL3d7jOU9IeU0C8+voJ08jiZo+C+tzY0zAvPYwWd0cL6SwOQWxnRnfuZI0SHD2uQQIwXUkRt7bT3Y4RnrpixcDk0fcEwXH1pwiDPQjaZ/uaSBeUXYd7N0RPQeM858l76UCbXCWSO2rcKbV9d6a68T5lejjwRR2RYjnGvGpe5M/YZtMy6Ns2icUw6ALOXBUAHHiXFSbS/GfRS+e40jw56/27dwV6SNTmK+0mlwIH74MlwvWWTCycYUQduZzfC1XQPdImGs4TlR255k3flKIN0hxo463Y6KSs7TMFUrE3BK/yxlHO/4dSW9MqxOp95oSmKLk6mgh9pQK0E7AVno83eunQ0BgVAwn67g1rJFHK9Vo3Q+h3VRLlKDJ8jz5ZWSpAtxIR63lFZaF8ziAG8Q09M9tUublfCJrTY9KhZPt/uY7vW0CnJeBTGTZ5vZETELuaXlZvzD4CINeh7HOdXw7ZsDcKqC7R5y7CmDTjYY1krVAzn+R+f3gYg9Llw5KIXSPPBOJx6czXt0eKd8pmGqdCq8gtTanZokE3zRhmPxMzvS78ayeSuDGhfpPbWJc8R5auYNYgvrC0h7xL6lHJX4HZnJE20r5UPDd0V2K3wxZGbH1lMNF15v4i6EDQiX8YLg4LBDn//RDIJYIWOQfUhfR9HJIEB5YjC0dRnxlItRM8vPHJ5yywQ1DJy4EZgpONxFdIqgjHXdSrtNt02PHfUJl2YK8RAqKFA+WVAPikANBS1PV+FlLAWMlqNXujZMBTttncKFuwDIWfwsfWtGH/NerEUN5VFedTEthuUAWxQqLw+zqJK4sNCVvyqiSu0EfEdqykK+7Ns3ehuXxu+ZQtqSMSbRD3wlyKqhhUbkytWlByrxs/ZyGv5FlL057mV4ILXRmKD9+EFP3oZ7bFhvV8FYz+N49scvOxuVvnUSSHQp2wmadkr5hW0/WxSrXjNF8ZXb/X+WRPpW3aokTMiZQ9sLfWv7tfUN4F6UiNwJVg1eeyRUOzS7ZWS2BOJaLouWNKf2qd8EWtXt4ZZPgSkKFwUndbfscV8OiVnroHSfaqNq4lANj3V3YJwfOHhmO0hHVfYY0MaLJlGw1Rl15JIFEHdBM+gJbkRfygboWU4TN780ak6YJ91tT1iwxqjFY44SX+Jl/QKDnMv8Fn4oPT6vMDpu30up+dyBmtdTZ+N2n2nFkMHPj2532u44LXPlHpTBc/lTmycfD9cP1nv3ZEE3y2izQnIUX8Cy+vhPFg4HhGNisUBoJxdJV4IwPbHaHLwvZ5v1Qt7Z8tA5h9dkuNr3acxIPyd/VvWqEtKkziLY09uHY2ul0Z5Fq1mg12LhfXEDPnta8p6IGJn1dQIYqwzpdAII9b1O5bBqss71Gbml3flEQigJ1QIGXB7vLcqarxvT6nItpKZCqS4+8R6GNOmMI5uHTLdX18wGxHWcNdFt3+9p88MdegIaH3Gr86wofxhBvElCZa9Nn5rNlOvhkDAyiunYtmTNhaiDcYdsU8+Th+fMsWFx2CPz5IXDoyXRvzgwdfhp0Kypkh7p+aJmvjGyXXrhIJPoi/soCC2ZsGz5XafLdH20+fRwC9sH1npEJIEsuYW45w0mSzfdfmc+QArBlmyKphVOeUm4D7P4IwvHZbtGFH5Svq+g14JQUujQhImSdPtV2mT0ShbRjEoWwh/WaQHH1KrLfNZZ6nlXNRWnBZvVazcQUZOx/xQK7hbHk9PpPyL2O2gCqp9+B49qwO8+D4tA1IyGbQaA/wKHohBtf/as2FcimyvzIPe9nrMGOh2/uEzqRT0Rh6qZ2rSRTsYgcGFjhRachWKZO/o3b1sslHLKzLa1epGg7cyFWyCYhNN3itQSy+q2P31TQuIyt4PbOZe+S1wC6gdkNANGizIn8SILlzX9+tq3Qraf9I+zv4Zbs3OGsMmwlcIcylBeAo14vhMWnV+64JdDoohaGEWZ6KsiQ7mfAbp1Ye+K3q6eGxsNXs+9Wx3K6FuJGVjsfIyvZ8FWaZyeGzN1uhom0WBK0Bz31UbK0MlcaxXowuVYR4ByTdWaK3kargrqI1DdEzZabxE0O/8MjJtzdKpJ1gDNdaIj9G8hDjWougQMMHSGbB9HM6FxU/3lN2hlZCIPKXxFRKfVWN7ToKLWPafSS5IXvPlTjUx77yqLSHC+4CPO3fJNPsqfWOSh2mTtJiuy5urUwGjoS5/o/Z1GpNwlHN8+OXenFU6p6UrfkeaJ3vXbAoJiWRbRrQ41XoSp+JRz3RgLcITtlB4/rmaCA7n4Qj4dmbWZylCJkjBNGuljW4IHIFBPJwnqPclM0BEcCGnUx3Jces9dzGg223UfRzHT1CMB3WrzOWCBMvKQsOEicjmFvbbd5wGOQL5Z5jDuFKhViZ66kbNrp9zeY/KPBO2XUyxU4SMTstj4ji3tvN8bEp0nMc2b3wZzrP3Ero3Ne53AbrXd6GU8+7WctHkjFA4DOolyEUrKnzQe6SUL/aZD1+LsHa+SMqISLXHTIrOpFWvFeYUdsJiySTSux9fXe2gfMVDyeWp81TJATaGECTAEmoSemzRReajbvxyE2HoFJ8KTw0nbqtJSL6VyFkDSTZzAumw4V6nm8us5mfyZlki4Z3sbHg6gkyP+wQ1TXdmMjIT7oV3djGLpMsLO2gfOeDq4lqOesXJflkcwiBe/Ft8fPxKDOFSbKu4gY/SbP1w+X4EscueSm2C7QTio8C+5cGbZba9rCF9uW/+2xqn6l1BPK/DkEODMgD0nW9HzLQva9pFxFMLC2SjajQ2aLleIDld+r5Y6nz/0WxEAm0DmXDnKM8nlgBhktPg2i+VT85cAk/wUxTx0Zthng++6z+LytFvM5qdTlOUEjKcp+hFiv3SBcWFwk4Kc3BqxpTAjUNkt+eRLu/8/J9dF5ufrHVOOqJhAkimsRiPTA/OAOwaCNUvhyzhq7pNBB2GzkSFGcqf+U8e13U87dWw9x6PJCSsSvu8wK+7Uy9CfJ2Y8zUDuoF84TuupsElbhSgC/iZOGPdZY7ywuDMwKE37QIvUodSVMf8qgh45LVbRA56S4MFPfOB+6PVlCKmfefJ4dQSD9PMU266VQFu6JGscbQ1WMWbTEFJOlHJbnzz3C6Z1nJ8/a+eZc2okv3sbXTDoJfvKutdlyf575Tb1Rdj5I3YZ/nmRpu/yeq5sSBkMeaMbJfrKOL8MDFFehrAch5XDs8m+KamYNz6FSH/S8NbWBnzjHGdXlatGQMMdzUoAbX988Prepa4DncLolCaKfqnywGiTW8NtJQjWTAjJkjZX6P37I4hB49u2k+a05O4TvcRM6by6tKounhoCh6QFWFr3ii6IBPfA5jVZxOOCfu81cB7Unn7xFivV8alRNKxcvlNNr8ow0NxsVB66QxGKRNao6q/8y9a9ug/uX1CfVP8jm0JW212ZWB6vHo1UYu3V3+WFNMFSQ++KnmVG9diGW6g/ojqsw2wW3QtwjusoOwbBUGw+tYZxqncGZ2nsYUYNEZW3kSedI4Z/xhroUVEc78So+4TvMAoRVNpt2JEbtTSCXZRk9OSUqIQK5Iw5ngsVfUB3LVCAyPU6K+ckTnFL58nf7vIn+KZdaRXn3BTScUpJy1jdNT/tPIBauqN+tMn+FV19FgHuDIIyQsz19ErcDWI/kKh4qnCawbTEhp+r58KYdAtkzesIeofh5BrsnN0JqjLkVXufUnVhlm/NZK/g/XdBHYZperuiMJi5uAKe4zreYbY6W0ZtnJbxhcttFurUTFIaiaGwRAc43fBSPm9SuRBQNqDHViZSK5Tv3jdIZ48zE2Ehz75jSKc+Fs4vgmizXgRBxGlcTPOq9fA5VKlqZkQWoxXiHh0vYnmtInFNnYiCCKfka3sz4vZ1poaK/dZ0tv9sOpjhyfQahyYK2Nx2ujri/fz12BovfLM7Ita6WyLNZslBumFfWQAWdB++iixnsgGQXUSSlx8PTdw6Xg+1v0zDM1hXXJ10EgTdwPeneTuL+I3X0OLCnjsv1glR/QoYqpMn0i/DRdgRSsJ36wKbQ72c0dh9xTfCjaga+MJrHLDY+1vJcpNTeRTcOJdZ2rpL9DfJvqQRJnKZ5VQwVjVY4HufIgZdFnqVfRNvuhwdo3LrsO7W2TbY7fawswz0IZMUyVexgCECSuEKuOzkiakbfD8W98pv9/1rnr9Ik+zWJt3y8nYq++iyTpsGxj1Pm+74dpiMZcmfUTTLZvoVf3JPhgq23HAIgHH+N+voAJxy/l7XZcH2T3L7m9BKoah4W/xxGnWcwJWwVziQR1gwpf3oelmtbxvAs3juIarrCwORWHqwLwr4uBEU529U3mtKbUB5Ijn6iruUjZqXnWxnUf4SR8SiMttHXtdW9oUdJ8Nh8BYrS8JPWFq+bwqgeloeKcQyIc5z+iA/GFwubt3FusTi0sFt774nI0yuQiWjPT9Hq/Rm7DmEroRu9DcCjUZeKqndstr1WvRkYaKmTc/EjwmpTlLqnld7fqZUzjk9YOSm3h/rEjgo12dB4+Gf2rolEZ94Yxu8SGcTOKwasWyciwxurIPa2302bWTYjNr/nXs9QGhCtKzgYSC1RDJkSIUJmflMmMoFFrCu/gKNHRJp3snPlYhAv2wp70Bhaaddj1hXJkpZtQZRFCjOFTl/KSxO8jOoSsdcjP7zRf4AEYd3co0IB0p12u3jfo0EqyFHUraiBhUJoalyivaEJoMuvGc0dfh6kO9b1YlYJPm0GW9t9fSsaZz3SR7Y6B4BGjCRvevvUpQMcNm4YoWhlpo6FZzvxXoMNlqz5Ue5npzbYZpLqHoQN9h6F+0XovXjurDYwwbOBu3KdVgyZa7wdeeOABH2ku4TeEHaa1FMjmQYZGsRrEZzcicNrZufQFoRV/695DedPbrlyil4G6wsLv40MDqos5tWclKt1cQfF+lXXCPNbVG2r0KEnN800Z1TLpaS6tUbXfq+TzMhhWQnlGYyxJUpGObes2bLEl9yefGXMp111uPKSZdLaLghDheTWc1hiw7W+aY4ofx4VnJhlcXnCpQlPrHd6jMOLX85LyXyZX9inX1b9fyQsdPu9v5V/EsyBKXo03JgijqCUX41t+lVvO1ceNqN4m0B9CI3sxjWSMkj2DLXn+V052uL+lmiAvEk3QllB6TOXELV/v+47Q/vgeVScozHPym/J3aZy5RtmO0VEySeW33pXHJoLUpNinido4hhfnWxmYopuS3IbCWEaXbBAnzuVq3Cl1QFq1aTv4W7UE9l4rmK6mD3cdvOLjwxX9y9rAzLfGFKzDjGTCuuc31ojzdTx761vyuiTaFnMleEDVC5lZGlIBV7PSpjmyg3fsUZF+rkHchIyOW1cPGpuf8aCaGht8Od9gGn+uu8jKmJ/gydXWUlU9p0KJ9uCmAu9FTUJSOYvqmvaqiCysP8EheNqz0KX+GMGZxlvCNWCKDtyT6ae/ddHp2V/QzydDWtwUu8afZlolyW+/HaS5fVkZrTE+JUWPnvlM43de3blftHfBWunOyJd+1PGL4ECC86ti8Z+LDdbiwIeaf9EMhs4nCw2XX31yvfDvQxhOxvMKBWR+hNATfN3U0nbOsXFY5NRJ864wLLccwlM7RAVNylv5CjYjlStY1tmTCeMok/Q06t9rLL7STcGLFMF/PO1ebcfdOuYpgg3LF5CqEa0SfzQdYWh0i4U/fJXIR2Ik1DQVmn7JFv9Xc8kLfUnReXUo5cbFioDwboGMSJc3ZvqxMupoZcLQoqvAIj5L5CGtPFbNBZMR7N1cl//39zfm14SIRf6eqq8xkZLzHZzIKlxzABB/aCu4kkRNbKrYrDpGrihdNeMvNUWVAsByKPjz9HnTDeBrh/Q1fHyFzLTkU6+sme5F7jfPYUFiwrl3eCyQi16YYd68+Pe6Z8jPC9yEsEownKc85K1kQ3OwlVVF/bnPzUhHTvncUcnKsNROXHwwMoGnhLxq4l3Az+sk+rn34LQha2ZEvtLmIYfRgam7bg7Q91VVI3QXkJLJILybNF95s78KEbgw2fqvaRvlFaar+eXv280Jv9H3KHSYlTvTduEE5AexIJIYDYxURDXr16SfECVJ1KTpZwXFf76iJDmY6kqts3byndc5zpc95XmWEFhjCVkcOLbR8wD2x26Cm5xXc+khUxF7fHUGeOb1EcckCYzEiG7Lfx1MuwgdbZsyLLFXPRPe2nUo7m3sU8YV/OwWdOoKhDFvnySIntZejovaQazOtlHAo94X5K9nIABYpP/VJS/97xZiuWdhL3WozmwZcpQ1bYkHQs8EfAt7xAES3/NNGIakrV/cm6NXFb4ml3RtaRLzam7juGHFUDrxJ67tUehZgtVjZekPMNC/XFSb77P2Mzyhbpl3et50aRCRWRrp3iXg23AsimgETTw4OONGTyExR0MLZKpj53mJMGWlMiFuYuLNrYARPk8+SD/G2PUFVDS9MQPt4UFs4VuQpj+TkmJ9R44JKXmmojVUXiDNsWWhMF1c/7dxu6l6JxMWEzNZsiS5zIK+d+q5nelL8mUW2vwe2AV9e0IZiP3wgJyss3ovnQdxVz7Z83YMbTc81XUg+RjYm0uUlpX905IJNvICNr6gPuYsPtTaK0HCE17mXx1JayEOpV8+TIIghFa72Ndd2YAXODLK/5MeWZ5FV7l/aCjwzoJpzsBxLCOWznDeYyCeMDuskeLq+hT1xO9ZROuVcQtyDrK+UE0y5/eSScaQPRFP0HswY3uLyUXA0i2LqIwhq3bbn/wlTL6zQYtWTf2TBcRwdJloskN1WrPbXzDPHYz2ze/1Df1w9eJc+YaJXw3n6EJWAdXnuJRSuFa9bNBtDiC8/4ZI2pZ6SZR7GSWHmLk/7eo+AC4s8Ul5xjH5+2S6gfAT/6f5coFnS+wW5WADvyEw6fGuBbYISJfup0+OayAUtnzeCghiiIaAx3avsYr8DYBGD5oyD6L5xOixZ6TBuj0IYCr+i74O/LecH/DW0b7am7XKLVpzAe9aAyiVmHi+f2JQovc5FjpZXj3JdIQtgrybdqvs4K8jjEWnVvFv+fUjpKVjuooI+PaXj7uemrWRPADkVuSJGX9+Fg4muaojPeSTcu5bv2F8SR4tMPTMLxsX8QSCR88VMnxpr4XlzwCX0g0LVZsliIOZtlcsER3wFR1mjxt6z+rWz9lCsxtwaV+0LmFnJJWxr9JAcaDgv2yWqzUfenfWTZiNsPEu+XVBGXbrxOfT0ni1uXLqfR9VYusBt+5gTG7/o/uaB1eSnNwIeSxdbHLlu0LWwEbzWOcl1b4wwr626UWKkjY9QkMRpqOHv+D5WE0l8jde9e1k840QMRgJ/BWGxh/dfnDsMgpkjMQNU5akD+phGwZmkBZYKwHMRiMhjtGC1H7wStAf1DUAmquvB0hR0oJFatCs2ivK69liQLTso4UPGsrHhtBS7OZ72o5tayy6vQ4zAs4+0TxyptBdJJrWFv14of4tCdYq+lHap5Ni5udNBgBSy0aKFDGLUcy0gJNQmL8xC6qraO5DKOeA2dKwZRDxbXElsSoMyT4ImkrgjviKfkBqwzCr5jEOw4TF51pMfGqKNjcKxz2xKCVlgKoTlqx0Fdd/fcONHqaY4nqdzbTU9DlJZp2hrUIh4g7PJrCMrDbo96lxrWdUweyBfGn1e2RfPs6Lp5mCAv+Wza6AS0Fxz9oZMHlnQXKB2FH2t94Tv9VOQtBL0ukSPk1IPLUG7w81SUU2MEr3MadTFAVs0YrIzAEaCg5kCn2J5qBCQNLLYpa/M8bDPIDeKQRhjFI3+nfe1umIZ/qAh2awQskL8VagpsFDuQMfIITwXX4gs9o+O36gMsaa+BTszmnCxzJIZHRXC0+FuzV8UWur9uDzOiElQinDD/aIolJBw6RA6iBaX/M8qr2miE7aAjydpRDOrzK9QKosLbwdfdFne7Kv7gn92DIJA2I71KfQoS0y6uU6GUb2UUWAF9yJowTuWKGfvi3k54bB3JDR4+DlR+ZW4xpdQjpc0fl7Jb/10WcF8nHxfvjulzxXsDdKHKmDDFzb5w5SDcbEKkD32Kp/DYJM3RvIICcLAkXMC/go5f2aC9RzutQn0oHBUbHQi329CG4AdBrPLb30I3uPlOiHaW0FmeBcHae2R4nw0QQvOvo//2UstayLoj9N33BC6Ijx/MFxtfNvNokylstiguD1jmezuR75EIalea6/rflOdpj3PMo5V9COe2v5/5yK8ayssT9iWIwI8juOtaC20VpaDMs/nFFxzkvYJsOa1208+VpLzuA4HBcxecSUH1rheM3KlSREzatwXsoNetORwerEC/Ct2Wi7w4OrzlrJ8BNxhQedpR1AJ9XhK+EmN/HDpP1/pbqQ2SzWF3yf+FlwlaJyM+Nis87tHBbRivv8lWaTkO3oRGOYRzGS7oE8qyHkDiA+P6Usq0nwduYnp82nac7/aOivW5rpe0DwTJQXiK33s+ncAUNainAnjKj9hC3HlxmqWQU/hgDD3nGUtVlGEcjdxw/fmdWAnxou48DYgI8IrkLGmt0LT1lKXiFrnIm96qmAwn6DgifMHMeMPTDZ11KLJqhXMP49Ur8Tvxr2rHP3T+mxixY4dRvD4SVF4pyZatrlu5+9Rz/GiTsUiMWYjn4kr63suWEi10HS+A+yIiTesNi2eDrxRudacM8G8PLsu2Xzv+wu2yki3hhH4B3UyNw9xp4PkFK3pwqjiEgvZhJ9ShyxlpOv/VE4to/J0d6E0V0lfQi3KvYxCuE4+LSjOm4rOUEVsDWfXu0cCpR0SOpKQ11MWEe3X0CL2kD1rP5V0w1Nsa6+1SwBwL53B69S+XC6LET+SCBw6fy75LgTwpT5nwaDfJ91lvYyA8gAmCqqdZ6eKZG8GmFDFbekr4vxP/OlvCkGS5+i/8XQT8eDAH7ku+XBHe0TwE7PArd2Fbvbn2d37KohpJ2DefOQ7pgUo7kzj5laDn3SBK9dY+JAfPg4meCgV8obwHojsuQ0rlbWhGDg21qmYsu9X6ZhhhakcM6CjXK59kluNqJF1NfG2As+KXWsYglAhskC6lmI2lqj25mjF0jPVN1kfWHerLMt+lUwFcBBwbuJpAdZLL7odrZzyoOescEqWo8T11suV942hHtn5jTa+SGk+rjDNG/4838R/tGq659ZyZ93fCjGe+FyRj8r25ldLViEhjQT+GGT3VOItriAA7hNbl142MAZAeKff4IfsgbhjVwCPCXMQ1F98EKJTqQ1xOnkPaws91vrPqZqhUTq/z7Af02PxgUJ1CjP/KDVDN35z0cAG2L6v7xvqTsjFa0brX9BrheojTuXLhEdlwinwhN+NO8pgjDR0K8aoNi9aeZSrEdhWAMW6snKbid/g47R6v40CNntTnCf8dyg42AbJkcawO5xq8QZ3H290WPavpKPbyr1/nkX+wipoHz4DmkcTyn2boeCRz3JE8NouU+oTI+AwUOYcct34xlH0w0CzX6NBuIJ2p0GQDJ38wPf/hmz7NI+rvryrGHs/iq4gIldPKHMkz5FauLIwGEiYnoB1Z8a+op1qy5zYDWtUko+MpDA8a1Gdfj6X7pLsn/xK/+TYQsl53JI0ebIRNq0S2NoSfPsSBT4LKTo10BUtByHqlteHK6TORHl4vhzcsv2sDRL/Jjlq4CZtR8IXCkRFgO+/V5HhSQqXihUUFSb7HHYnLedhFnxGcXjxC9m5SaRFKtG+LnmiKQw1asy9BVaj5oqI6qxC8WbCY/N6J0mCewn3fFvbuBPH7mL2JbaL+/PyZbHRHX4Zyh4dMb1s4csSNxwsYPL41W0MEiA0wuKJlf0MsEc/zSiTiSIZvMeZojPeGAnuxif951pmx0dbxXgNfzsTMOSWB1kTs2nKjFCRhza8MRkijZPiwjFqxEGK0yt0FmX4H+Zn0Wl9j1lZSIJCTwEiKNtVfW/byZeYvYHEDYnFg7qA3lHeOkWNNQv/vjVHKxVx941ZAhbIEu7KKFxqtAWaNja4I9DwvC2THn6Q4rYgN0CZpDuMk9zWrJ7JhuhKL2kjxJyS4Bb1jFQPGtSyr42HjVkhxyX9o0hcBY2focpnJBHv8x7eIrrzQLYtWmlBuEjqn1bGUdxk1Rk2MeiManC7eGBqm37JzjVOtBClhhIGF5tlMhEmPLSdUSsg7yN7zeC7j4miAT0IrX9062kJhuYJcGKQK0xSOzTnmKcCkonGxD3hJxjG6O0TpLmHxEofsltp4SG7NSvZOGleZJgdzdu5neCpjSE4Wil5LZeSlJs4XMlS8ufIdKddQ9MxCRtIlMF2pC6wqPPSxWqpXU/YgTvVbw9Bugx2lRa8yx+jKEqelzxUFDAFlpJ9aFCVkuIkFy7N+OkNmWK8Qic1aTJXTZUfag7u+u+vdxpbyKB0gMQkpVvFPP+7bk7eD2+PtQa1gkCG2MvQw6HCDQZ6ER3uETUju3xpDT3JHyMN9wcyUMd51tOx6sBEadMseH6UJcJ9nO0/UUxZYoVNi+O9mwiZaF0WSORqFISn1rggz4OCA04F7jvj5cQSILaMfw195pCxp/KgRy0Rw0z/YvPTVfsuI3c4dz3BZCCHalOemgTPXLI4nc/WBPJYMXVz5fRiZbtNkJZjk0W3brzS4CkHITQq33X/Vv/ADTAtzXV2zwESyfDjDklDyBEIHRtUhTd3t7oknnCE9sXXzzxhRvSj+INk2qCT+jDSSBM9xBAF5mwbVsGR5oWOzaXT2GY2NdeWrZ01SAh9h1O8q+NNLMtwZs8j7+GJZ1CdTz9twzGPeCfAGtGU8lsg3CqdCOSHjcbEpCkCzhXS3w6R1Hfcu1ug0i7bRx8HfhuKBPQRHuoE4bKSA4OcGWEMFLL+3MHW2rNWvg/lZsvhhAgviefCxw6vKlEjBkqBGJGaRlXE5rx+U1Oq+0OX/imAWIpniit1RdHNPvgApkUSod8jojJJNEJ4FQoCgE5UZwv7RAKl/UAkFVmOFHAZb8cPkNQ9+4P5hEorkdkUv+6RZL3PH4gRfxM3znjPoHxdN/X0zdNc5shlPPIHNpn8XPhIl44XPCe1Re013ojTvUX4V4Ll5RqcIhPC22Ws2450J097qICh2nIF+rB+hqZQSZuLJZWcHfREOgA/JhamgmbHuhY2dn/dvz9Q1DJijlIZveRljdrJhOrbYvnbhjVx5Np00kAkwkkXJUJ1CUafUyXkJLSJk3Bwcew8RQBvGYboedNZYGAnUQ1Tg+IXjQFrQCoYuRQkfgCV+bf5Be2XOGeAsRINOQmTq6s9GKNqLrm7i6wvCEYC+LrZy3VP7I8/SiY/SCY8Jw7GGec8DR6ReM/3OWcKVc5rH8jsLbgnla/rITVESAE3iGK7H+QYjBwCeEDro55DGk0z8dtmV/HaidLPMcm/xkmjbB2oso6ZO06jsAdCUi+v5SifHHNta6bclevKjdRa4fpAU0Ec6axfdo4/IOLgt5kXO10LH8OT6nyG2NdbURukmyKrzPxD2esFuSt3Nyj50sFPCs8b58VR/CuK0CWKs0jZlysZOfmQe2E1vhCw1fv697+FdxHdWHTJBFROEtZZijDkJtS9WtqC8Yqlp45a8n4pwrCEpZ3S/Y38iDsoKW/uHpwUNyNmfKo0aXMN6D8nZqC39nAl6UHmAKPPVLvQbXrr2VuApvBbwdT/5Q5/7ZNR+jZLKCtKfSUvF8LG/VC+Gn3ojsaelDb4uyvutgcGaM4KVa9Rry6auI3DgJ79O8v6QHeAVO3ObuTV6JAYfDQNIqe9qma30fugyC8bMVlmmSlLot+0yo3Qi7Wx2v1MuBBJwYan6RyoW/PNclCEyr4q0UvaZblHwQf5PY+7wQoCQ/nKGLmGjWu3CWOSKzDWGbr+b2MgI8Viga+jk3b4OO43itHG1ylt9K554NkysNwCcWTvKqOM1UP7gdpI2ITwVj9TootZoqmgVGgF9VpgstquXKkJiFCPnI5RCf4/bIv4typejZKG5nMhZpbYD73kzSr/MaV13XvW/EVVbjABJzF90N8HSyVZTuB92/Qx9ePSRo92HbAqheztgA+s6lITmhdA2IkUBRITFuTTANX1toOBGpeO7yidD3jRzADCXFOdLoKAlaXFXwEHcfaU6q+OXIlSBKy0XJAvBH2hnVGJeFKMBzh4KKl3qahFoGou4YwerOZVw+b3MKq8Q+BMk59z7rv/exurkZEtPak+Rkqr/aAzXccDcBWsFyFdfQoCqkhsPHvqmBbBHwJ7V3NBvPoQBjx6tWcSK4N62FxfR2Mf1U2CMTzAThsiM/ku6ESm3AGX55epNs3RDFi7NcE4x8X4QYGp72ckboFdSzVYd1ZKB/dOjCQO/9dX3kdL79TGaj1Qy6W321947fKhd2azj12KtLkNoJD3X6wxHkSiesOlRmvGvjr6CLiy6zHZmKRRCKd7et4ulYNRA97U/CbcPKcPWinXYpJHWHZWPF5bfhKy2603L62Ox+a870/MfgFGnjmrRsWzz836YN1VB3a5dIqlWBlX8tiEBj/hkgeQ6tyiv4OH/JIydm2P5yu6mzJkRYEwUrKNG5dPYiE0bRtgw1Z4ojuc7wuHUiIz/ldcHEn18GBtdksCteqIu8OO97fZa0Hr4m3mS127aa3zvCy3OgRrIMOiyh91ANH4I2Kq5575ihrph5ds+t97BB+C+1grX8a/zWkYe4OcsrwY/KyYgdsZSoKCvyNqihof43xMXJZQVwWy0puwG3AxPILEnVFiAR26dGAZ0THti5TiAOHrKnLlmlfH2VhLRpkVFPL7rZBFu7/wdWtjgXdnarCkpxfKnMtFTS4VfZChVoiqHUs/5DzW8lA0vuRRWOyOyU2DYwJ+DU4Y0Txqd9nZew5VrWstzA57d9apQve/s/JjKKza4dTe3hxugxBUDKOODUqb0snbYdpnRxbzvK/DpDv15jtOcjz0UyQQCeHohT31b7i2HpaUYaR59OuGCqez3KInZiOmiBd8Dj9NNea6OAKXPNXBWve7b9MKT2MNMNbZ+XYpHbugVafipmVDSSGsAPIRFHuhRteMyeANLhlWwVqVqk3Kpm3GpzrK34KDhf3xywR8ah1kq8VXVFjv96iwUY9Fm8DM6i9b5sF8ay/12dZnHNtNHrzc7eMR69vEb/5M5ZJRdPtoZ72Hgvu134mj4JsOOhNRzO35W5GfUIl5P4L+tXvGoQP4zm64SvUGxK3WCogpWwrOr+oD1BdmT5jEILL6vlndhYN9f1SATFqgSst4wh9jOJiTNSAOVyPr4rYfGv43N0vRKB22frs4zXtv9JVQh9kdtuUFJ6w10oneEIY7nK8vGKJLSXoug3uS4Y3LKY6VpVMVKpSgoNoqJYm4b7Kh/52coOhILy7ZIqGAXHplAsHsDODefdk9nQMM3BQldjAI9XNar9O+ur6h725h4IFRPFlV94dlDTgaBdC4BtL7RzFLli5xfDgo3tRlO93aNt/iExqmdYO9ldcIctGRLIY1xdGItC3SXxXlb9C3yNpJAVcAe22CQaP/o8jjsQXiM/b6H6Q2ClbkptHefb8V+amymBVBKdQ/qbggjEClGVabTHg7J4eEiTDdqcVmxYkz87uplLrZxXPQEw+BjK/u+e9rIcwF2hzhOS+PKdVVA4XS94S2VwXtgqHtde9GU389M26R/l+hhDuENAPekn+ogM2sDuyvAx0F5/KT0GRK/mIzWDIwoNgx4ihbEMs/JfuMtwGabAvwVKX6OpfLarif3ZIOUbPdisvJZaGT/w8J2pDAeRx0dCIYjakOLp/fznzqJSz6+vJhZVn+eIbC5cKzmfAakr8AgQERFVHYSVhpspYgvr8B/Qkcv4Ek349DPtfhH2H7bT77uDOMjJqa2F/r64FX8z45nPsGoHSHoo6glGKFZnvkMtRBlRkvDKskYOUijwJzYpuXGKCWVq1oewsJeRkUerAECoiC5d9gZ6/O5e0N8lkUk/Ad6xBtK/skL4IqTkeKPFh72p4/UhiY0N0wIMMMmZchpOLdqnL/YA7YSB562JxeCjpUhEKl4RfIAFv7ghbtu4XcEgYyDZA4Vbz+Uu5IC/JRR2HV5wrNJ+w2KUuO6DFmdpsbeRHUxqbnaKgrqca7EU/4A8UyWQsb+Q6R/tmLLPeDeK5AjVATcxVHxUjr1ivurcMrtBeWvBPCojAIJ8X3F9SsU7Md8+GCStHF1GONoN4UsdmtvNrKRc0CTxQnLPP/e/KX7Gu6oGVm9ZmIL0LBSv77y+nw8Clqn6/MDdBOJKtxEY7uH4BRdV0/mhreAVN01abHRzqiMYmjXDnO5AIsV0bFfboiCCiaEX2vSNuXm6g126WeT1N4sAKD9JqCtSEu4wziuwN/YouczdBen0BarTZPdjK1wDOGOLZ49/+WEcnnqlmlDij1zjWCVQRTr1s4N5jgO8dVqFwx7+n/f3qFUQOxb8ykFop9R9CweSvFLetWqwyI8eTBuGyDgrXoJfHQINdCKbJeQLd0oc9u4CophEfC5dpbSAFBbjonVC7gWDv/ayzpDabakbaBTVhGABXmpvbd06gEcl44xObopdgQB13GFPr1TeBMmcsJLje0/sVa+Rd7LTKlcPGNDl/FVuO/23x++VAD6yXBgD/PQNldJ2LbS6Qo2tT4dPCOKFLf6anSLty4qKga602wABAGlKB3XDJod+O6hANzLGQLgv85Rxfv1IQDVQpwAKmCpOS1O/AcD7aj93Vu+kYu+gblYacsf/sks97oJ6w14eswLN5ndihZRoJu2s/J+llcfXIt4Fmm/xe2oXdPtFVjmIgRCNI5SR+krYVSN6hUeqVZBtvkgvW5eXnIhbtl4y44lJBS4v2ecU1yGRYdqU7Nv8WRvW7wpYxM9csTwZRTgR/7gdRP0s2BmX8+qJuPDuN5hh7hx9GGZ+YqfjY83ZVrjnypvYV5SxVOxe6p0/25YOJyF4BD9PDaFj+t+yr6m+ojum47/Bou18y/AUuW5Yui4HzFjDOEs4/I5M14cyEXZQyPftV2JYe8FmO9Rq1FieF7kz79VTGEORuh0UiB7dcwGUhdiA4bEJTnILMOUexTZehsNs8rBSTIhHfA1x4sBeiwOIusrYvB/WYztBoYpTzcqobSp98bCxAyazmOII7t2z6+gFFgkft8Ru/48I7Epy3Yo/ysd5iVwUYisUE0jHaVvSuGHjKzHz5xot8SsKetuW7AyMRzhvuQbDRgMEPuTv6st7YQr9qk8ZFHUyshk97Rl5txydElWQ54xRcsUnmI3t5nNB4wZTjNaoNwERMNti2oe7pCEcyH9oFZFKsBh7C5R9UP3jFidIYkWCnh6lqUWZ8ObtDbeFOtrpXX5s2CVCoUlBwgf5eUySJOjfzUNN7tHkPnwLhsr3D3rmczBYlL6wozqEDEl9NCSwl9EGXFfZyspDYcL+rXGTts78GhDyay3zBRVdmjklw2BQXCnEAHQ3mykc2GI1ViVyZrqtaOIZ/Z8kMF+WHl1gF5eBc6XrF34XBX21d/3PY/sNLUW+fWPwvCBefS9MF0nMnesk5zDxt0IKd5Y5I3dWypUWFw7qB+YH6z1WJ0Z/ZfXbSc1D/G1KOrLq099nA+vmE+zf32S3ybKbCK61gt2iX5RBZ9Nn9Zl7gCNWRhfFF4c//thszXCVZdv2kPn8IuOKfmGXGMnOfDmZlbsBR46zq0lvHX4Qev5ifHfMKUTbmO4pGb5XwURIBAD+U5cEA/Tw389pymgjXwATCYQcqmRE696LjtChsEnGLle5f/jiMHVzvaq4kT0iC2io1VHi5mU/axT+v4dVRAR0Aas2apAKWNocN7pmJS7xh0s5l08OMQhrsglh0TmsfVe48vjo7WWfCmjOxZjDUje4IKSC1iTdXGKDOZRqDcaKi/wuZg4H8RkW6VGsgs5F1+TTHS+l89XNgh9zAOu4tWt+SlLc9kGlsmelPeC9Ais/kowa7citPzr/IOxeSlreNaXx4yIBSi+50Z99QvmUweS+pFLiWgkOWSl7EO+vU3otWE2Gz5APmGwusTlguAvI0TPS5GggESrZkhSZ/KFhfchKqu7EA93KuIN+tpokyIQHQ3/BVlNag0wp/Abe5pX+FzTc6JG+/YE4aKwu03oJqcKb4UPAUq4jjagCxbkx0yXrQAf6FVSvlt5qOCzPnNQFNoswIJ2PSvhVcW8KeDeNGkFS0QpeMZjVeR/Bx9Sua80Vuuu+5TYM8deD7HsVtD+Twg3Am2oBa7URvA20xP3B/0QolEfaNMxTD8wZiL3pIQUFzgcZa18i/8QA2VFTeXg4ffJXVigz/n52zdBdrD/TfyGEM6rZwu3ZD980a5J1T9oesWRMiXXxrCcddfRCgQwWOitSeBtyuvItIa131B94MlyhkMu+8nFzugIhSGrK9JNdKWb8NOYdTpWhXUC4BgVG+Z1kAjcaRhZHarmEPGfxWy4Mea/wFKjRFcUh/idXK5+zngwFcQiGb4BnmBaRRm4T9orI1sNfkKNHtRDwow3gm5jfQSn57CQ1t/nmJZCbMFBTshrMi30DysK0K+XofW7kOS6AJ+RTg+m9Yr8QX6+aMODJGrHzxVy1GZXXzbJ7iUBAK2e5uynRtZVcgzOGP3EyOGN6QqO4pWvps7jCHZzAThh76v7aVvMTXcTPE4Z+3ES7JTcGX7z2zFtGduOn0DMbY2DHIpGj2elYSg5CQS0kzWUtLQphrh+tuswnWABDhTGCPjE4Pzv3WtLHennYfGjmP7Or7pfXw7id8pIU5hO4LpaK8E5KAWOY/exV8/Xc/1PuTI9QqXn5R6lInYeLe8bG2OPYuiIPRCRx+7278g9rVCp2a4WzYnTH9ZIy6GuJvFSRK2Z4h/hk/hS2VdYAZ05wx6j4GtL7knAdOEjh1Ly8jQ9OMXrpnW8jQ3QB4A96ReO6ihDNo3rKVFcfFqT6m6Rp9xrBOV03ZB6YOoRs994I6vkerxtQy5qerbrW1yZ5n3C32OmTDKD2C16VrXTehLnPDLqLV2fBK2K4den5bNCsU3JWIUyTY6lLwJH8DotF+snxVHyaKOKfhG7YghUwq1iY2f3wpY1QbiyLtw9kC+uCGtSTsvVErKc1hM+r5nXUVwbp72z47Ohnwdt553Dg4ADzDmRmFGlYHbOdqcz5eDhlv2Rs/dV17V5bDT85hmXQduoZv4gMNDJTuKhvolCWTUXaTaBWrON9c+ydnFPA5hzpbajGwSvDo7vEDdS5V5HkOiYrq+geYBJgdsejSa/KuRLA0NOzdxrtlPW6kLmWS3RTvHtiiqQ4AHJDim56x8QNXFry4HLrhksw/r95cOg1dPNR+48QaVrWZGQ2WVOOYiZlJWd7/bnlkAPXmFWquS51IIfxOOecXSLGl3BD+r7e4vJBoMeFyEe8+bSPttHFUtYAcv3tHVNyd1F++pRWabFsoyuLLYtIMmjdy28Ao/Q92W9oTfIRBnkqsdAA+a1l6FzxuRRn49RHD1tAVB9pMiah7L+EZ9b6uMipnSZ2BkMFfMl3uS/S7lK+UVKqOZYbwhcNI7kLxtebs+E74zYugQM6CrX5kCNDsOQlT1zu6p072QuPPRd48syMWx6sxlosRqSfs9vKsHqPmgf09noUfpYM5kPaD7RR7o4wFYogg/SiUhtQk4O8/JZOzeuWgPHUtcVBFPhAJ86gZPvVOn8boxhSa8SjOIn+VXEtdJa0YXw/7T7VNXoLTbF9Fi3wWnASVghzdf2WdEQDbzdqeZzSjvWr9ybmGuREGCZh20baF7mVzNrgshI9HMFj0t3zpC28/ZUby5rnCfljIB1Y5cjOcBvfLGERzrg/bXwufHATFRaYMS5tL/Fhfc5vJHX2whu8g/CG5nxT52c1yC497KjsdFjERXSMJOJ5pgkM94vBmrr8aIVO4tXsLm9Nrr835pSOHsq6KGB46M7p/+1Z8JN6TmLRsIM6fNwWUWzrLO8VCtCK91lR66j8AYI76qIyMnCJuZADmZHjE4RRu5crVZrFASQZwtY2LBalQPakC0TMEtNZQ7oHeZUEj+XyuB19hdHqHoRnLkPjMzJSieeIj/PJx+ZTBW5xIBZJtwg0+x2qZ/PQHCyNB7X2MI5hwHbZ99zfYE1lKupW1dUHpNcngxpf45SNpHIWPGIfg8iyh4/YuWq84os82DycLgioQhr1JHym6aiCjHjQkgb4BSIB+XDUhdohWLboHCSDSzGo9PKuz7iZgnJ9qrNPKhzYAW9ZXHHdGaeWPNkjlf/M8khZkRh1TNhBRUi5ffGLnP/UkWOmffF6zgYUshgzOYPDcWs69nfsmee6sJsha5oVJ6zN0Tf1Dg037WNJELoVzwSY74tt4/G4Ru2xPiLLVUVvtbkyKzlUcLXzfAFNZXKjw/8QshKICvrHZzlbszJePFUaIa9XK7+7EYyVlKWswjwLNSPkP6atcrKKN6gvqrmDYAz/Ysy0oEkV3jketacYP/Xk8+TVipYOSaK50jdOxtpQToVKG2j1wpJa9fhHgB59L6LBKG6l8FX7fSIqYVNx0Z0z4mvVN+DjIwY9AcH/5jGQ0dTbbV9FKYztfal/HOYIGZBr3b+8W2edJYDLUCGPDjro/W0G/a+HEEJqMkYRI8RQsUegEICHNRHaROld51a+DmFXF2q0O95annRZE14GPc1aCm93ec5z4JopAqLwQM3WLgsDOns9SKHMOMadIZ/EToDWHB3cbj9VMWiROYDtL/OFi+bDgsW/0egjQwWI3hdJ98IQgUN6GRpU25gNAorTDW3rymUjQcD25LIR/jJH/KGTOAFVyVEzhv7gWz+DNj3yBdfRCVAwEcxWn15i9Eun0ezi3UUz8b9BV/s0bYvzigdIWIdBdk/FDn7UDntYrt7ozpbX8J+uFRwYwAYzCztv8S0VKuUNI8GX9GHeo+S/Xq9sPvcA/Mvfc4rxsuTCixpRS8GaOqWt7BgEbXUJLC6p3HDG2Y0uwlzQI1JTSA/q2/QWAyKWmV9elJgqh07glSc0jjHvhPISJPXwUx+FSGp3/tvMYFOaJ69hnKqyPiaZdYUpsVfH8rqnUSOhxa8vOaKcQbfnetC7DRKQUBzfBVVZVYPQTkR+dQE5FcRZRo6DeOW2FGrVRRrMDpAurI7Yd9oOa+WO2JvvQ6hw4cFV8I+M8pmLSU5diHoeCnCFzBkXfr78YgbTcmqhFI6TBvNktySvfVJjus/w6XfTmcy1jsZTz4HxJZieyB8iJKNjhHcJ5quV/v7wU3Fh02zi8fNhQ/DdaxOZsxwC7869hpNZVgveZ7IV/IjPMHroHznXk0RsPzqS+B5B5MSsYnDtCn1MaXAvtMbKyofLFULcdt09co1/8l2/HUkfEhsnqjWzkpbUjoXX6uFkUr/x2bTiEen77VZ8mELR8VA+x1d3sB9P7bTxmcr+HFWUexfQh6vc8Oe1g1r3yCw9mkrcNo14orHUayM3wM/Hqfj9OofGgwDCse6vbqHtDfNfDU3ZLAH3blC4TIee5NEVEKAhHBmnfiaA5OsulzUT64t3ZFUf8TmhAoJnz7JAYzO/HJ0TKGx+qQLidWIW6xQ1GJ0/wJVMz8lwRAd19tEGVh7DSydQrN5TA9JdpQ4p/KfjrXgyLtJqz+9XrMJD52SLsWjJkly1tX4uvEjw6GBJdCFf0DlY7pXKjyUXLMjJmSsO6Urz43902HyT7RTZbBX/p4gkatbnO84ugkJAXF+9PQH4q2FzMq9SXdRIuoMnpiYNLSo4EzGPRtdiDvH5rFOay9pJ3znhe4MDoitXXl6Lj/6ti33b2n+cKSMCeazuBdJXBOIwyDfAn1v2H7p6/si0SMdqg+gN7zlhlL184CdMM0YCPfmTAmh89iRwR4gVH4/teSRjvchxLqdNp5cQ2vXgWdGnK/421uHWiHhdquTMHl1hZxM+K+VKpWfWFJrAYTnrH3BcKRV/j1pkMc5bVzdL9owdVjc7hxFHIurpgvfpg3xS39W71oExGxtoqOeAUKlr0Uo3QoD1QXeHePdlMtf59/ox9BrlyBk9QAno7yhflvRmh5ego2qS1scASrno03TKv0ypnQcoB6t6Km8Te3obHcoZlROPQy8YxIjSDkwpaCPnISIQHtP8+dWtFsSpEalR5Z8uHsthtqLJhE5XGGLqwJp5ApefnmcKtaR+QQf6/DawslyFsQnJiEf3gRlg0+BAip37SMIcLk9UDzFMYiUGfwua4/UH1jfD8FPqFUUplSye55Cu+r11yaD/ABoCGjnFiQbf9zlSquKIFtmZlVxEbuW4JFXk2sUlZWq0GoVxORkrcgVyifAt1uI0Lz3h5d6+zIFTLhBr0GrpfbcujzNcf9YzWnuWR9OLgxSyh0Ko1s/WwDeRPKPxC3ewEzxnyRMMqHMv/zZu+J0/V8Ijwoy2IqyVZFMHG4XAaNEx6YHtu5vqZz1Ll5fqBb+nj3+7/XFTU/rFAABVu3qw5fiCKUE2EiWxGeTyDxCKSi13Qgv7/Y23o8LgU8SSW/8nz83vIj5z3QLVX27YM3kat0p53o0W+h9uVsteEoSx4kFN63qgILTtiuRL9u5uQz6CoNYSPYcdyxTbB/RjHmnxpw49x6YeQ0wEaPqwI4FzK+srlYpqrLsxzFNH8ZaKhjzGwXYmAJsUfD99J2T0b4lHYDJSb9Cx2ISYGvDcJwjRp8e7ZUjtqQ18Z72TslajbUl1vJyed02T0tEj24QCOvLvoi9/iSNYLUQ0pq/cmNgxu76J8Qfiv28ui/sxTCD9hmD6UO8BvISJgSBI+K2Ce7DAouY0NcSI3qoXjdt11NdrYM+V0H3oX1dktUhPN3eI9JrdJUWouLuByxHlKxlkV347NPNQWyredr5RKg683tENNd2yUQs3KrccpxrcCFcBx6Wsf0f/LsEZEuxu9TqN9OL4I6ZkeVlOcOFNeLK+YQivTQd2UMX+A8yxesBJUpd/ZouIfJxCbC7eSQ4oIR2ANMcibRKKG5GyBjH1BRQ6sVN7NxcJrbfXgSY4QWSTpKLrwn2syFAeg2d9fK7AXn/IzaLRf7utFv/cRwNUeK6EynLF9kS+sJBNIyWWi56AZey+w3Jp5tm/o8qXXNBsGfHyOwc9WOBhUf8R7NcfIERcKmkAq5zVTUyNOEXG/qCA5C91ghTcABJ1gvam2yCVjaTczzRStazgUUlpJ87HzvQsAmjJUX3KTRRr4LSwDX5RBzfyiuFAeZjQldiTVL+jJzjxE/pN/RzCj8Fhd/FKqO+DUMw1eT4B53/cJpljig0mnsqOshyU0FYy47Q/wzrlf1+AjABZ8i8fu8qITvkddE5UqNttUeqfCD2JoFccXn2F25S6hVCCjnWmGWdCczBjiOt7vrj2m+ID6ckCfqNcmMSjtWIqEfQ0IEuqAI876FJITHph196BxXUujGAMjbiW5gi8i9raN2fc86atoyxIK4y+F7QWeDqwGCQ/3vW8uEoilJVN9dH0k3oXaZsDm5aUogY338iq2SYXPZNWUvYmaWrLY9jNirNsqySZ9Eo/6nipm7O/FvpS6iZ2ctqXfPLVr8HkmWfcBKJuGoSf4g2Ca+9mKc1txWjuh9TrPcnMKR2CmvElGuYiCrYOfXUOi997xjXGnJRlbmOK+52mpd3YU3d/JrC2FntMrKCOywuuhAaLJOHuqHT+WDoQ+3zl5YF5EjVCd4TA4b8YxYS/XyMwr8IcJumL/xMFRi4Oj9AtE60Q0zAx1gkkQzWDOApIuXZWnBgrtjbpjTn5lm24UwWL4Cq8fpeMfC9F2PDadU9RyzRUoly+6CT86XgtB3uMxnhG+zPL58f2ThOuWH5Altd5fVFAHTCbBtWofhRnElt+s8nkMVz2xgsx/nZyh8ZpuwvK8lzw4tIuqwDfgu25Dr/GuPFklYK0ROYzen+iySX2d7SugpJqYP650w+V7aWbhsBlgYTySCqfCdpFO4jSVqJHn/A9gDNoEgClBdQ7Gp5hq3EmLuPH7LUfpi1gRqnzVZagVD3sguJFJQjw2obF72qhBdEP0fJ2lQGk/PSYYcvqZpa8t2qOPoTbL0PaahcFPp+yy0Wat+qRqA4gkyOG2fOt2iPS5KHPXWunO0d4JKvha6ReZB80EEcIEp2JY6XZcgktNgvGwWpT38dhV/In5x7GIbyeHJ2gdJAcTCiHAlZqXIY5w5FE7jRhWHFtfNlHOXQrlElt4duCUzc0L3zdbeaL21RwirnklpUDGwffk2bD7Qrts1vWBROiSas41rxERyY4oXtTf4nmvx3TZwl6/k2lgJ+dkBPVr9jJKiz6bgQPKKvX4KDVa/l+7DXM2NIS5adysz0VElRvTDXcHKTMZmsBtbj6n1F85AnybTcQxRn2jkEeR67Wm4AA/z35VZQ6DL1uqxJKa8FXre+GJtirn2kQsY6VBhkUbIQodxPE8+ajMRp9EKFfOWdg9D9r/BRPdMDTJGyPnj/r3OlgNrasQxYIXNy3Ln/lLXMrg9ZfSOXSO25elI5a4r1Whq3++j/UYBsJa/vwTUkkOEt2T+NNKcXmFinbWVa4o/fDJte40sAeu6bYdVV7rRNLQipZH7Y29vsyUXmhVI3Bg/yUy+kkvjeaV3n+Kt3p1lLXhADNxnfvDNwIqFv69QIrypBUvQtJ2k3bd8qfbSyXpBRXMdSNgiCJ5odIHf9xHirWFCjbyiLG2u0pJFDp1rzgC3n8PrAnaDNS2nogCUjwaylG5C+NyI/CLUPSLkUnxMDMQVOihdeDOcLJ0w98Gp0BSYa8qtPtbbQdZsmBobC0YPdDmgbC8xmi8uskz2SF5rRkR/kIu0cwh1CQcAczzCLF4CY+U+gP5Whi/TNtJjJFwtQzxfSrqqeoGyQn+ayFlUmBQMuEYYk9fRMRB130ItzqI6tx8S3IkJoKt4chmXchSDbQhdRWoFOhk1YcJqXU3C3zuZ4O00qfvWiJd+7R0Y7/jo1hdijbkCmI0bMGamL6EjwmI1Nooht51oAiJIZkyTwkG8erJPq60ivwsKZW5kc3RyZWFtCmVuZG9iago3MSAwIG9iago8PCAvQmFzZUZvbnQgL0NNU1kxMCAvRmlyc3RDaGFyIDAgL0ZvbnREZXNjcmlwdG9yIDcyIDAgUiAvTGFzdENoYXIgMTI3Ci9TdWJ0eXBlIC9UeXBlMSAvVHlwZSAvRm9udCAvV2lkdGhzIDcwIDAgUiA+PgplbmRvYmoKMyAwIG9iago8PCAvRjEgNjMgMCBSIC9GMiA2NyAwIFIgL0YzIDcxIDAgUiA+PgplbmRvYmoKNCAwIG9iago8PCAvQTEgPDwgL0NBIDAgL1R5cGUgL0V4dEdTdGF0ZSAvY2EgMSA+PgovQTIgPDwgL0NBIDEgL1R5cGUgL0V4dEdTdGF0ZSAvY2EgMSA+PgovQTMgPDwgL0NBIDAuNSAvVHlwZSAvRXh0R1N0YXRlIC9jYSAxID4+Ci9BNCA8PCAvQ0EgMC41IC9UeXBlIC9FeHRHU3RhdGUgL2NhIDAuNSA+PgovQTUgPDwgL0NBIDAuOCAvVHlwZSAvRXh0R1N0YXRlIC9jYSAwLjggPj4gPj4KZW5kb2JqCjUgMCBvYmoKPDwgPj4KZW5kb2JqCjYgMCBvYmoKPDwgPj4KZW5kb2JqCjcgMCBvYmoKPDwgL00wIDEyIDAgUiAvTTEgMTMgMCBSIC9NMTAgMjIgMCBSIC9NMTEgMjMgMCBSIC9NMTIgMjQgMCBSIC9NMTMgMjUgMCBSCi9NMTQgMjYgMCBSIC9NMTUgMjcgMCBSIC9NMTYgMjggMCBSIC9NMTcgMjkgMCBSIC9NMTggMzAgMCBSIC9NMTkgMzEgMCBSCi9NMiAxNCAwIFIgL00yMCAzMiAwIFIgL00yMSAzMyAwIFIgL00yMiAzNCAwIFIgL00yMyAzNSAwIFIgL00yNCAzNiAwIFIKL00yNSAzNyAwIFIgL00yNiAzOCAwIFIgL00yNyAzOSAwIFIgL00yOCA0MCAwIFIgL00yOSA0MSAwIFIgL00zIDE1IDAgUgovTTMwIDQyIDAgUiAvTTMxIDQzIDAgUiAvTTMyIDQ0IDAgUiAvTTMzIDQ1IDAgUiAvTTM0IDQ2IDAgUiAvTTM1IDQ3IDAgUgovTTM2IDQ4IDAgUiAvTTM3IDQ5IDAgUiAvTTM4IDUwIDAgUiAvTTM5IDUxIDAgUiAvTTQgMTYgMCBSIC9NNDAgNTIgMCBSCi9NNDEgNTMgMCBSIC9NNDIgNTQgMCBSIC9NNDMgNTUgMCBSIC9NNDQgNTYgMCBSIC9NNDUgNTcgMCBSIC9NNDYgNTggMCBSCi9NNDcgNTkgMCBSIC9NNDggNjAgMCBSIC9NNDkgNjEgMCBSIC9NNSAxNyAwIFIgL002IDE4IDAgUiAvTTcgMTkgMCBSCi9NOCAyMCAwIFIgL005IDIxIDAgUiA+PgplbmRvYmoKMTIgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagoxMyAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjE0IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMTUgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagoxNiAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjE3IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMTggMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagoxOSAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjIwIDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMjEgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagoyMiAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjIzIDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMjQgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagoyNSAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjI2IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMjcgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagoyOCAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjI5IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMzAgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagozMSAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjMyIDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMzMgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagozNCAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjM1IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMzYgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iagozNyAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjM4IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKMzkgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago0MCAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjQxIDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNDIgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago0MyAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjQ0IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNDUgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago0NiAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjQ3IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNDggMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago0OSAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjUwIDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNTEgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago1MiAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjUzIDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNTQgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago1NSAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjU2IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNTcgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago1OCAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjU5IDAgb2JqCjw8IC9CQm94IFsgLTYuMjUgLTYuMjUgNi4yNSA2LjI1IF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxMzQKL1N1YnR5cGUgL0Zvcm0gL1R5cGUgL1hPYmplY3QgPj4Kc3RyZWFtCnicbZA9DoAgDIX3noILPFJBflwdvYaLMfH+qyBaRUhIaUvfR9tB7cRqoWRgtFMHsfbeMscSD9pMcXI5MNa7OKZM8CEdBfFWklc8giyGsHLEV12636Qgi0aAH/LLu4t/zGxXqn9CI0IPjaYBVP3h6Rr1MGinRXcraLeHPx1lgI1ophN5pksnCmVuZHN0cmVhbQplbmRvYmoKNjAgMCBvYmoKPDwgL0JCb3ggWyAtNi4yNSAtNi4yNSA2LjI1IDYuMjUgXSAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzNAovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJxtkD0OgCAMhfeeggs8UkF+XB29hosx8f6rIFpFSEhpS99H20HtxGqhZGC0Uwex9t4yxxIP2kxxcjkw1rs4pkzwIR0F8VaSVzyCLIawcsRXXbrfpCCLRoAf8su7i3/MbFeqf0IjQg+NpgFU/eHpGvUwaKdFdytot4c/HWWAjWimE3mmSycKZW5kc3RyZWFtCmVuZG9iago2MSAwIG9iago8PCAvQkJveCBbIC02LjI1IC02LjI1IDYuMjUgNi4yNSBdIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM0Ci9TdWJ0eXBlIC9Gb3JtIC9UeXBlIC9YT2JqZWN0ID4+CnN0cmVhbQp4nG2QPQ6AIAyF956CCzxSQX5cHb2GizHx/qsgWkVISGlL30fbQe3EaqFkYLRTB7H23jLHEg/aTHFyOTDWuzimTPAhHQXxVpJXPIIshrByxFddut+kIItGgB/yy7uLf8xsV6p/QiNCD42mAVT94eka9TBop0V3K2i3hz8dZYCNaKYTeaZLJwplbmRzdHJlYW0KZW5kb2JqCjIgMCBvYmoKPDwgL0NvdW50IDEgL0tpZHMgWyAxMCAwIFIgXSAvVHlwZSAvUGFnZXMgPj4KZW5kb2JqCjc0IDAgb2JqCjw8IC9DcmVhdGlvbkRhdGUgKEQ6MjAyMTA2MTgxMDQ0NDYrMDInMDAnKQovQ3JlYXRvciAoTWF0cGxvdGxpYiB2My4zLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcpCi9Qcm9kdWNlciAoTWF0cGxvdGxpYiBwZGYgYmFja2VuZCB2My4zLjMpID4+CmVuZG9iagp4cmVmCjAgNzUKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDE2IDAwMDAwIG4gCjAwMDAxMTI0MTQgMDAwMDAgbiAKMDAwMDA5ODAzMSAwMDAwMCBuIAowMDAwMDk4MDg1IDAwMDAwIG4gCjAwMDAwOTgzMTEgMDAwMDAgbiAKMDAwMDA5ODMzMiAwMDAwMCBuIAowMDAwMDk4MzUzIDAwMDAwIG4gCjAwMDAwMDAwNjUgMDAwMDAgbiAKMDAwMDAwMDQwNiAwMDAwMCBuIAowMDAwMDAwMjA4IDAwMDAwIG4gCjAwMDAwMjE2MzAgMDAwMDAgbiAKMDAwMDA5ODk2NCAwMDAwMCBuIAowMDAwMDk5MjMzIDAwMDAwIG4gCjAwMDAwOTk1MDIgMDAwMDAgbiAKMDAwMDA5OTc3MSAwMDAwMCBuIAowMDAwMTAwMDQwIDAwMDAwIG4gCjAwMDAxMDAzMDkgMDAwMDAgbiAKMDAwMDEwMDU3OCAwMDAwMCBuIAowMDAwMTAwODQ3IDAwMDAwIG4gCjAwMDAxMDExMTYgMDAwMDAgbiAKMDAwMDEwMTM4NSAwMDAwMCBuIAowMDAwMTAxNjU0IDAwMDAwIG4gCjAwMDAxMDE5MjMgMDAwMDAgbiAKMDAwMDEwMjE5MiAwMDAwMCBuIAowMDAwMTAyNDYxIDAwMDAwIG4gCjAwMDAxMDI3MzAgMDAwMDAgbiAKMDAwMDEwMjk5OSAwMDAwMCBuIAowMDAwMTAzMjY4IDAwMDAwIG4gCjAwMDAxMDM1MzcgMDAwMDAgbiAKMDAwMDEwMzgwNiAwMDAwMCBuIAowMDAwMTA0MDc1IDAwMDAwIG4gCjAwMDAxMDQzNDQgMDAwMDAgbiAKMDAwMDEwNDYxMyAwMDAwMCBuIAowMDAwMTA0ODgyIDAwMDAwIG4gCjAwMDAxMDUxNTEgMDAwMDAgbiAKMDAwMDEwNTQyMCAwMDAwMCBuIAowMDAwMTA1Njg5IDAwMDAwIG4gCjAwMDAxMDU5NTggMDAwMDAgbiAKMDAwMDEwNjIyNyAwMDAwMCBuIAowMDAwMTA2NDk2IDAwMDAwIG4gCjAwMDAxMDY3NjUgMDAwMDAgbiAKMDAwMDEwNzAzNCAwMDAwMCBuIAowMDAwMTA3MzAzIDAwMDAwIG4gCjAwMDAxMDc1NzIgMDAwMDAgbiAKMDAwMDEwNzg0MSAwMDAwMCBuIAowMDAwMTA4MTEwIDAwMDAwIG4gCjAwMDAxMDgzNzkgMDAwMDAgbiAKMDAwMDEwODY0OCAwMDAwMCBuIAowMDAwMTA4OTE3IDAwMDAwIG4gCjAwMDAxMDkxODYgMDAwMDAgbiAKMDAwMDEwOTQ1NSAwMDAwMCBuIAowMDAwMTA5NzI0IDAwMDAwIG4gCjAwMDAxMDk5OTMgMDAwMDAgbiAKMDAwMDExMDI2MiAwMDAwMCBuIAowMDAwMTEwNTMxIDAwMDAwIG4gCjAwMDAxMTA4MDAgMDAwMDAgbiAKMDAwMDExMTA2OSAwMDAwMCBuIAowMDAwMTExMzM4IDAwMDAwIG4gCjAwMDAxMTE2MDcgMDAwMDAgbiAKMDAwMDExMTg3NiAwMDAwMCBuIAowMDAwMTEyMTQ1IDAwMDAwIG4gCjAwMDAwMjE2NTIgMDAwMDAgbiAKMDAwMDA0NDE4NSAwMDAwMCBuIAowMDAwMDIyMTg0IDAwMDAwIG4gCjAwMDAwMjI0MDQgMDAwMDAgbiAKMDAwMDA0NDMxOCAwMDAwMCBuIAowMDAwMDY3NTQ0IDAwMDAwIG4gCjAwMDAwNDQ4NTAgMDAwMDAgbiAKMDAwMDA0NTA3NiAwMDAwMCBuIAowMDAwMDY3Njc4IDAwMDAwIG4gCjAwMDAwOTc4OTggMDAwMDAgbiAKMDAwMDA2ODIyMSAwMDAwMCBuIAowMDAwMDY4NDQ4IDAwMDAwIG4gCjAwMDAxMTI0NzQgMDAwMDAgbiAKdHJhaWxlcgo8PCAvSW5mbyA3NCAwIFIgL1Jvb3QgMSAwIFIgL1NpemUgNzUgPj4Kc3RhcnR4cmVmCjExMjYzMQolJUVPRgo=\n", "image/svg+xml": [ "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2021-06-18T10:44:46.431641\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.3.3, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.axhline(+1, **latent_state_style, label=\"Stable equilibrium\")\n", "plt.axhline(0.0, linestyle=\"dotted\", alpha=0.5, label=\"Unstable equilibrium\")\n", "plt.axhline(-1, **latent_state_style)\n", "plt.xlabel(r\"$t$\")\n", "plt.ylabel(r\"$y(t)$\")\n", "plt.plot(\n", " locs,\n", " ode_posterior.states.resample().support[:, :, 0],\n", " **particle_style,\n", " label=\"Particles\"\n", ")\n", "\n", "# Remove duplicate legend entries\n", "handles, labels = plt.gca().get_legend_handles_labels()\n", "by_label = dict(zip(labels, handles))\n", "plt.legend(by_label.values(), by_label.keys())\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "passing-farmer", "metadata": {}, "source": [ "Depending on the position of the initial particle (which is a sample from the initial random variable), the trajectories either approach +1 or -1. Eventually, they all get there." ] }, { "cell_type": "markdown", "id": "bizarre-proposition", "metadata": {}, "source": [ "## Summary\n", "\n", "Particle filtering seamlessly blends into the filtering and smoothing code in ProbNum. It can be constructed with the same ingredients as a Gaussian filter, but of course there are fewer restrictions on tractability in those models (any non-linear discrete model works well).\n", "Choices are the bootstrap filter (if `linearized_measurement_model` is left empty) or one with a Gaussian filter used as an importance density (if e.g. `DiscreteUKFComponent` or `DiscreteEKFComponent`) are provided.\n", "\n", "Its results infer the true latent states well on simple problems, and the family of particles displays differnet paths of the potential solution (which is especially evident in the ODE example)." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 5 }